 Good morning. Good morning. Let's take a minute invite all our friends and colleagues to sit down so that we can get started But first welcome to the 2023 quantum summit we could not be happier that you've joined us today. My name is Dario Gill I am senior vice president at IBM and the director of IBM research and Wow, what a year 2023 has been from the perspective of technology Look computing from AI to semiconductors to quantum computing it is once again driving markets and birthing industries and really igniting people all over the world and the Imaginations of what we're gonna be able to do with technology And I really believe that we are living in the most exciting times in the world of computing Probably since the advent of either the digital computers in the 1940s or the transistor in the late 50s and Really now with these new technologies We begin to have an opportunity to start tackling problems that we didn't even think were possible to be addressed With the previous generation of technology I'm proud to say that this year marks my 20th anniversary at IBM and Thank you And I hope you you're getting to see that The company is just so different than it was even five years ago And this is in no small part because of the foundational work that we carry out in the R&D community inside IBM and Frankly the rate at pace at which we are commercializing technologies Look in my 20 years at IBM. I have never seen us Commercialized technology at a faster pace than we're doing it today We like to say that within the research division that we are the organic growth engine of the company and we're really relentlessly Focus on how do we bring the innovations that we're developing in the R&D community and bring them into products? And I highlight as an example of that rate and pace what we've done this year with AI I Mean we all know that in the world of AI, you know as far as the public is concerned Certainly has entered the public imagination of what is possible with the technology We had become deeply passionate about the role of foundation models for quite a few years inside the research division But this year we commercialized and created with an intensity that is unlike no other a new platform to bring Generative AI to the world of enterprises and government called Watson X and we were able to do this in a matter of months Back to this theme of commercializing Technology faster than ever before and people are really noticing But of course there is more there is the world of quantum and Look I remember reading, you know a few decades back some of the core ideas around quantum information science and Thinking how powerful those ideas were to become and if you look at that journey now They're becoming a reality and the journey has been amazing Recall that we made news in the context of the quantum industry in 2016 when we put the first quantum processor on the cloud and within a week We had five times more members that had joins and users than we had expected and really that marked the moment where Quantum computing became accessible to the world first it showed two hundreds then two thousands and Eventually to close to half a million people that quantum computing is something to be considered embraced and nurtured now in 2017 we introduced kisket or open source quantum SDK and It has become the most widely used software development environment in the world for quantum In fact, let me give you a statistic over 81 percent of quantum developers prefer it as do over half a million users That same year we launched the IBM quantum network and it exploded We now have over two hundred and eighty members today and many of you are here today. So I thank you for that In 2018 we also established the quantum innovation centers which have now grown to 38 worldwide in 2019 we launched IBM quantum system one It was the world's first fully integrated and commercially available Quantum computer and since then with deploying quantum system ones all over the world They're now system ones in Germany Japan in Canada more are being installed in South Korea Spain Japan and here in the US All this activity is really fantastic and staggering and it is why we have come to call these past few years They are out the emergence of quantum computing and during this time We have developed more quantum computing power and put in the hands of more people than anyone else in the industry Now it's really been remarkable to see the problems that the community that we built together Have been able to tackle it really hasn't been easy and But what's made it possible is our philosophy of continued rapid innovation in both hardware and software In hardware we bought we brought at least one quantum processor every year with a signature breakthrough in 2019 we introduced Falcon a 27 qubit processor a Year later hummingbird boasting 65 qubits And in 2021 we broke the hundred qubit barrier with Eagle and Just last year we introduced Osprey with 433 qubits and Today as promised we're announcing Condor with a soaring 1,121 qubits With Condor we have solved the problem of scaling of qubit scaling Now we're taking that knowledge and applying it as we build larger systems and Of course, we didn't stop here. We were also dedicated to improving gate quality and increasing the circuit depth and That is why as excited as we are about Condor we're even more excited about Heron This is Heron the most Performing quantum processor in the world and the one that will truly scale quantum computing While Condor removed the road black to scale Heron pushes circuit depth and Quality with its tunable coupler technology that I'm so proud to introduce today And wow if you look that the collective achievements on both on the hardware and the software and the ecosystem Let me give you a statistic that is remarkable These are the number of circuits that have been executed in IBM Quantum's fleet over three trillion of them So if we recap what we have accomplished over the last few years it really has been phenomenal and a moment to celebrate and We would say that that phase marked the emergence of quantum computing and that it is time now to move to a new era That we're humbly calling the era of utility Utility is the theme of this quantum summit and there was one key advancement That we believe mark the transition to this new and exciting era In June the team published a breakthrough in scaling quantum computations that was featured on the cover of nature The title of the paper is evidence of utility before fault tolerance In it our team showed that we can now run large circuits with over a hundred qubits And a circuit size of almost 3,000 gates and extract noise free estimates from them So simply put these goals beyond what you can simulate with brute force classical computation and The implications are really huge and I know so many of you jumped on it This is what mark the utility era and now the community is running experiments in our quantum systems today That have both a scale that is large enough to investigate the utility of quantum computing Beyond brute force classical computation and with this new era We also bring a new system So it is also my privilege to reveal to you a system like no other in existence a computer with an architecture that is powerful enough Modular and flexible enough to grow with us as we continue to match forward in this journey So say hello to the IBM quantum system, too It is prime cooled and Running hundred plus qubit problems just north of us at the TJ Watson Research Center in Yorktown Heights, New York Look, this is not your typical standalone system This is truly a modular system that allows us to connect them into larger more powerful Quantum systems. That's why we call it the building block of quantum-centric supercomputing I truly believe that this era of utility will cement IBM quantum as an important tool for science and business and We're bringing this technology to all of you as fast as we're innovating it but look a System in the end is only as powerful and as useful as we make it driven by simplicity and That is why we are bringing the power of Watson X and generative AI to make our quantum systems and kiss kit ever easier to use I'm showing you here an early prototype Still not quite ready for prime time, but I wanted you to see the future today Here you see that you can use natural language prompts to generate kiss kit code and This is just the beginning Imagine what the platform is gonna feel like in the next few years as we bring and we will the full power of AI to our quantum platform So this is today's IBM more focused faster more open than ever before and It really is an incredible moment and it feels very different than we've ever done before or CEO Expresses that IBM is a hybrid cloud and AI company But made no mistake When all of this is said and done IBM will be a hybrid cloud AI and quantum computing company a Company that is dedicated to perfecting each of these powerful computing platforms but also the tools to be able to combine them and Extend them to achieve and solve problems beyond what we know is possible and You my friends will be part of that journey and that mission and On that note, I want to pass it on to the great J. Gambetta Who's gonna come on stage and share with you all the other amazing work and great? Advancements that have brought us all together today. Thank you Thanks, sorry Thanks, Daria Good morning everyone and welcome to the IBM quantum summit Thanks so much for joining us on our mission to bring useful quantum computing to the world and make the world quantum safe It's great to see Our clients and part many of our clients and partners here without you IBM quantum would not be possible Many of you have been with us for a while, but there are many new faces So I wanted to take a moment and just acknowledge our new client clients and partners We welcome quantum computational centers with BASQ RPI and Recon We also welcome new quantum innovation centers with NQCC KQC and the University of Copenhagen Our new commercial partners are EY KY K Sorry KPMG T systems and SAP and our new industry clients are Branko, Bradesco, Dao, Hyundai, Israel Aerospace Industries, Itao, Madara Sorry Moderna, Mitsubishi, Electronic, Pfizer and Truce Thank you all So now let's get started as Daria said we've ended a new era in the history of quantum computation and we call this era the era of utility We've done a lot of important work. We've learned a lot about quantum computing applications for instance in simulating nature data with structure search and optimization and we as the community have published Thousands of papers. I think it's 2.5 thousand papers are being published But there's a lot more we can do until recently We could run most of the experiments on a laptop as or as this graph shows even in 1981 IBM PC We need a disruptive change if we want to extract utility from quantum and Earlier this summer we published a paper that shakes this up. We call it the utility paper We showed that quantum can tackle problems beyond brute force classical computing methods and that's what we mean by quantum utility I think of utility as the first Milestone to the road to quantum advantage We got here thanks to the novel era suppression and our mitigation methods and in four years We've able to be we've been able to increase it by a thousand times. We can now run thousands of gates and I want you to keep this in mind for the rest of the day and What's more in this utility era? We're starting to treat quantum as the source of truth and Classical methods only serve to verify our results and don't take my words for this These are the words of many papers that simulated the results of this nature paper But what's even big more important is this past summer We've seen at least six more utility experiments that have run quantum circuits with more than a hundred qubits and using hundreds or even thousands of gates These experiments are advancing fields that go beyond quantum computation. They're using quantum computing for quantum computing Is now a tool for discovering Discovering in scientific domains like material science condensed matter and particle physics And we're starting to see this disruptive change I was talking about the community is using quantum computers to do things beyond what we can do with exact classical simulation And I hope you'll join this groundswell of disruptive change You can start using quantum to explore scientific realms that weren't accessible before I like to say if you're not using a hundred qubits, you're not doing quantum So I'm going to bring Rajiv to the stage to tell you about what's next in hardware. Thank you Jay Right morning everyone So I'm going to talk to you a little bit about some of the systems we've put together for this era of utility All right So you've probably seen this road map that we've talked about in the past that we've been executing on for the past few years from our 127 qubit Eagle processor Released a couple of years ago to our 433 qubit Osprey system announced last year We've continued to deliver on these technology innovations What I'm really thrilled to share about today is these exciting results from the work We've done on a quantum systems this year and we have two of them to talk about first in This era we've been pushing scale to the limit and we've done that with corn door the world's largest quantum computing processor No claps Condor is a result of our exploration into single chip scaling and fridge capacity It pushes the limits of how many qubits can be put on a single chip and the ability to yield those qubits So they work day in and day out which I can tell you is not a trivial task With condor we asked what are our challenges that would come fitting over a thousand qubits into one chip and into one fridge For example on the left you'll see how we've added layers of superconducting metal wiring to solve the density problem And on the right you'll see a key metric of coherence time is very similar Between condor and osprey which was our 433 qubit processor last year So the learning on scale that we set out to get on this chip is off to a flying start and we're really excited about it So just to summarize condor is our 1121 qubit chip it Features a 50% increase in qubit density and over a mile a mile Think about that of super high density flex IO for signal delivery All fit within a single fridge Wow So the technology we put into condor helped us figure out a key piece of the puzzle to solve our scaling problem You know that's behind us But from our utility experiments, we know that gate depth and quality matters and that's where the next step in our journey takes us Don't get me wrong. We are super excited about condor, but what we are really really excited about is her and here it is My lovely assistant J We're going to show you a real life Heron processor brought here especially for you Thank you J. Thank you. All right Heron is a 133 qubit chip Learned from our experience from fixed frequency qubits with a twist Making the couplers tunable to give us the flexibility we need a Little bit of a history lesson back in 2019 when we realized we had to do something different The team really went back to the drawing board to explore new gate architectures The results that you're about to see reflect the fruits of that labor This is our first Heron chip codename Monte Carlo, and it's already showing Significant improvements over our best eagle It has half the gate error rate and some fidelities in the three nines. It's amazing But what's more important? We virtually eliminated crosstalk, right and I'll talk a little bit about it and it has a Significant improvement in gate time This is going to give our users a huge advantage in the utility era and Give us a solid foundation for where we can continue to scale our modular processors Amazing and now I'm going to show you over the next few little slides how much Heron has really improved So this is a measurement to assess qubit to qubit crosstalk, right? You'll see two curves on the right the gray is the isolated qubit operation and the darker line is Where you address multiple qubits? You'll see that our best eagle signal clearly degrades over time in the multi-cubit operation That's not what we wanted and now you look at Heron in a very similar operation It hardly shows any effect barely a change. This is a big deal So what does this all mean for our users? Right the chart shows a metric we believe reflects the value statement of a utility scale processor We didn't want to really look at just our best qubits We wanted to look at all our qubits in a chain With eagle you can go back two years ago. We started at about 10% error per layered gate in The last couple of years we've been able to take that number down to the two to three percent range But that's really not where we wanted to be coming up, right? With Heron We show a 3x improvement in the error per qubit for these long chains of qubits. This is going to be huge Now you'll see some difference in the blue and the gray dots That reflect a difference between the 80 qubit chain and the 100 qubit chain Our goal is to get both of them looking the same next to where the gray bar is and that's what they are in the process of improving in our next version Now let's look at performance Heron's performance again is markedly better than eagles that allows us to run a lot more gates enabled by the lower gate time You see some numbers there those are pretty good estimates But it gives us a very very clear runway to our goal of five thousand gates and beyond and you're going to see a lot Of that coming for the rest of the day So how do you put it all together, right? You have these nice numbers What does it mean for when the users are using these? Processors you'll see Heron is showing real performance improvements, but our users care You've already heard about the utility paper from Dario and Jay When we use similar techniques of error mitigation It shows a three to CX 6x improvement over the eagle we leveraged in that paper That is huge This improvement becomes even more noticeable for longer experiments Now the best part I'm excited to announce that our first client Heron system Called IBM Torino is now available as an exploratory device in our New York data center It has a long chain error rate of 100 qubits of less than point eight percent our best system ever We are super excited to how you use it Look, this is a great example of four years of research and engineering that will power the rest of our roadmap We strongly believe we have the right qubits and the right gates to make this a reality Thanks for listening and we're turn it over back to Jay Thanks, Rajiv. So the hardware is truly looking great Some of the gates are as good as three nights and you see our focus is focusing on getting the whole device to work Really large, but you're all here because we generally have this tradition of ticking off the roadmap. So to the roadmap Now we can tick off condor and Heron If I click the button and we can tick off Heron now, we're in this utility era The focus has got to be on performance stability and reliability Utility era means we need our software to support utility scale workloads and this means we've got a level-up kids kit I really excited to bring Jesse to the stage to talk you through what this means. Good morning, everyone I'm here to tell you about kids kid Kids kid has been the de facto standard for creating Optimizing and executing quantum circuits and operators. In fact, kissy is the preferred SDK by the vast majority of quantum programmers Kissy success is party because of its right ones and wrong everywhere model last supports most major quantum hardware vendors and architectures and Now we're proud to announce that next year kissy will take a major step forward with the release of kids get 1.0 This new release will offer even more improvements in performance stability and reliability From now forward we think of running a quantum application With a four-step pattern and now I want to tell you how kids can help you implement a lot pattern Step one is to map problems to quantum circuits and operators Kissy has reached two kids to efficiently construct these circuits and operators and Kissy 1.0 has added native support for dynamic circuits such as loops branches and classical expressions It has also made significant improvement on memory usage Reducing it by as much as 55% compared to a year ago Step two is to optimize the inputs The kissy transpiler is an industry leading tool for converting circuits to respect the constraints of the target hardware In addition, the kissy transpiler has a past manager That gives you the flexibility to further up customisely optimization. You want to apply to your circuits In kissy 1.0, we see a substantial improvement in both speed and quality for the transpiler The kissy transpiler is now 16 times faster than a year ago and can generate 23% fewer to cuba gates than another well-known toolkit We also started experimenting using AI to further improve the transpilation process This can be easily coupled with the existing kissy transpiler. Thanks to the flexibility of its past manager Using a reinforcement learning approach with we've seen a 20 to 50 percent improvement in both circuit depth and scene accounts Compared to the heuristic algorithms in kiss kid This new a the alpha release of this new AI transpiler is available today and Finally step three is to execute these optimized circuits in primitives the two primitives we have to we have today Simpler and estimator encapsulate the most common queries to a quantum processor In kissy 1.0. We treat their interfaces to make them simpler more consistent and more efficient In kids get wrong time. We now support three different execution modes single job batch and session Running a standalone job was the traditional way of executing quantum circuits on small devices And it can still be useful for testing and debugging Last year we introduced sessions which allowed iterative workloads to complete without queuing delays for each iteration a Single session, however may not be long enough for a real-life workload in this utility era So a session can soon be extended with multiple active windows to accommodate lengthy computations This year we also added batch Which allowed you to submit multiple non-interactive queries at once and now with batch execution mode Your workloads can run up to five times faster. Thanks to parallelism or threading Thank you everyone and now hand it back to Jay So there's a lot of updates coming to our software But again, we have to go to the roadmap what we promised on the roadmap was threaded primitives what we've delivered as a seed sweet Sweet of execution modes. We call them single job batch and and session and so with that we can take off execution modes So now that we've entered this new era People are using quantum computation for doing more tools with discovery This means we're seeing additional users with additional needs and requirements and it's my pleasure to bring Paul to the stage To talk about how we're supporting these new users Good morning everyone So as our hardware and software continue to improve they open up new opportunities for users to integrate quantum computing into their platform Having entered the air of utility has opened up a new set of users that we call quantum computational scientists Now a quantum computational scientist is not interested in the quantum hardware itself But rather in utilizing a machine to solve a distinct computational test These quantum computational scientists value performance compatibility and ease of use over everything else and Thinking of how to try to satisfy these needs when it comes to quantum algorithms and applications Applications has brought us to the idea of a kiss kit pattern A kiss kit pattern is the sequence of four steps that all quantum algorithms and applications must follow Okay in step one we generate quantum circuits and operators most likely from classical input data in step two We take those quantum objects and we optimize them for execution on quantum hardware Step three Executes our experiment using the kids get primitives that we heard about and finally in step four we post process The primitive output Now kids get patterns are more than just a collection of steps They provide a logical framework from which we can begin to explore writing algorithms and applications at scale right first when you think in terms of steps you highlight the foundational building blocks on which Quantum workflows are built in how to leverage those components to create a diverse set of quantum routines They also allow for containerization a kiss kit pattern formed an entire quantum program and we can begin to enhance pre-existing workflows with quantum components and Finally the allow for abstraction away from quantum circuits and operators alleviating in users from working at the level of quantum assembly code Okay, to see how this all works. Let's take a look at a pattern designed for quantum chemistry All right, so here it is you see again the four steps We're now each step is comprised of a collection of blocks where each block performs a singular task These blocks could be made by IBM third-party providers or even open source contributors if for example, we want to change how the circuit and Operator in this problem are constructed. It is a simple exchange of two blocks leaving the rest of the pattern unchanged We can take it a step further and we could say let's change the classical optimizer used in step 3 and that's also easy to do However in this particular example the optimizer itself is not a building block Okay, this is because kids kit patterns aims to leverage pre-existing software frameworks Such as the optimizers from sci-pi in this case and only build the core functionality needed for targeted quantum acceleration This targeted approach comes in handy when looking at pre-existing enterprise workflows We're only a small portion of the of the overall routine is amenable to a quantum solution Using the same inputs and outputs as the original workflow a kids kit pattern can be tailored to specific use cases in pipelines Streamlining the development and integration process All right, and finally kids kit patterns are designed to be used at scale They can be enhanced with information about resource management thus optimizing their execution a Pattern can be uploaded to a heterogeneous computing infrastructure such as quantum serverless allowing for streamlined execution All right, and finally our pattern can be run unattended and utilized by end users with no knowledge of quantum computing whatsoever So now this is a flavor of where we are going with kids get patterns and scalable algorithm and optimization design And we're going to start rolling these components out Beginning next year. However with quantum serverless already out in beta. You can begin to prepare for this today. So thank you very much Thanks Paul So as you see we're truly trying to make quantum frictionless On the roadmap we said we'd introduce prototype quantum functions And now you see we're starting to define that with what we mean by kids get patterns So to the roadmap to tick off the progress We now have a prototype way of creating what a Emission to be software functions of the future and quantum serverless So the utility paper has been the main focus of this talk so far But we made another announcement this year. We released a new error correcting code It's a new low density parody check code that we actually call the gross code This new code requires orders of magnitude fewer qubits than the surface code and it scales more efficiently But implementing this code requires new innovation We need a new type of coupler to connect qubits that are further apart on the chip. We call these c-couplers It requires more connectivity On our qubits degree six So here's our ultimate goal We need a system that has c-couplers to enable long-range quantum connections on the chip in order to implement the code We need l-couplers to create large-scale systems and transfer quantum information across the chips And we need m-couplers to transfer information short range between the chips to make bigger chips out of smaller chips I hope you've seen that we've already proved there's plenty of utility to be had before fault tolerance And now we have a code that rate that scales better than the surface code Which means error correction is closer than we thought But we don't currently have a path for error correction on our roadmap and this means we're gonna need a bigger roadmap Here's our new roadmap Let's take a tour Let's take a tour On our development roadmap it charts the client it charts the path forward for our client facing systems and services Here you see we are actually showing the number of gates our processes can run in a single circuit for the next five years So here we now show the number of gates that you can run on a single circuit rather than the number of qubits And for the next five years, we're going to be tackling exactly that quality as opposed to scale That is because we believe we've solved single tube single chip scaling with the condor We have the tools we need to build larger systems The bigger challenge is the tools we need for utility and to continue and to continue to improve the quality So we're putting that front and center Over the next five years, we're going to triple the number of gates our processes can can run What's more flamingo also includes that quantum communication and it will be able to bring at least seven Seven qpus connected all working together to create a system of thousands of qubits But then something big happens in 2029 We have styling you can see a stark jump all the way to a hundred million gates To me this is going to be a lot of algorithmic accuracy that we can code into our circuits Styling is going to be a big a really big deal. It's going to require a lot of new technologies And we're going to take all those technologies and put them into a deployable system Yes, that's error correction We're going to say that in 2029 we'll have the first system with error correction We're also going all the way to 2033 to show you our detailed plans for how we're going to scale to 1 billion gates But we've realized we need more than a development roadmap So we're introducing what we call the innovation roadmap At ibm as you know, we're committed to being transparent about our progress We want you to trust that we're making progress and you hope and we hope that you go on this journey with us So as I said before to achieve styling we're going to need to develop m-couplers c l-couplers and c-couplers We're going to build the l-couplers into flamingo We're going to build the m-couplers into crossbill and we're going to build the c-couplers into kukabara Combined with our software innovations. This is going to continue us along the path towards useful quantum computing We're actually putting a lot more in kukabara This includes the c-couplers the degree 6 couplings the software for decoding and the list just goes on and on So I hope you accept that rather than delivering kukabara in the plan 2025 We're moving it out to 2026 so we can incorporate all of these effects Innovations from the roadmap will bubble up into the development roadmap and eventually become available to our clients The couplers we build with flamingo crossbill and kukabara will let us introduce error correction with styling And with that the road is clear to extending quantum utility From our users we've learned that a work we've learned a lot about the workloads people want to run And we thank you for this We now that running a single we now know that running a single circuit is not enough You want to run multiple in parallel and with concurrent classical computations This is the quantum centric supercomputing that dario mentioned in his talk It is driving the vision behind all the updates you saw today So just to do a recap We have the ibm one. We have the ibm quantum system two to me. It looks amazing It's modular and it'll keep scaling us to the future and the first one already has three herons inside it Heron our most prefer to heron our most performant system is already making utility workloads run five times better And I can't wait to you see those results With condor we've solved single qubit scaling For with support for parallelization with the execution modes batch and iterative workloads are going to run faster Five we've simplified quantum algorithms and introduced this concept called kiskit patterns Six we've created quantum serverless and it's in beta This means it's a much more stable and i'm really looking forward to you seeing it But all of these were on our roadmap I hope you also like the additions that were not on our roadmap that we've revealed to you The first being kiskit 1.0 is going to become kiskit one. Sorry kiskit is going to become kiskit 1.0 And it'll be fast and stable As daria mentioned, it's been a wild year in AI and we're bringing the full force of AI to simplify how quantum computers will be run And we're introducing ways that we can use Natural language to create quantum code to me. This is a big deal Nine we've actually introduced and showing how we can use AI to power coming up with better circuits And this will be rolled out as a transpiler service in alpha. You can start using it now And finally the 10th announcement is that we now have a 10 year roadmap For all of those of all you for all of you that know how much we take the roadmap seriously putting a 10 year roadmap Is a big deal and putting error correction on it is our commitment to how we're going to be useful quantum computing to the world And with that I would like to and we're saying we're in the era of quantum utility Just like we said back in 2021 2023 would be a big year We've a clear detailed roadmap for scaling our quantum computing We've hit all our milestones and now we have systems capable of exploring problems beyond brute force classical computing Now I hope you enjoy the rest of the sessions today Where you'll see a deep dive on the things I talked about and much much much more The era of quantum utility is here And I hope you will come along with us on this journey Thank you