Join us at ISC24
To discuss integrating quantum computing into your existing compute infrastructure
With the rapid evolution of Quantum Computing, users are contemplating the best way to begin to integrate Quantum capabilities into their existing HPC and AI infrastructure. Find our experts at the ISC conference, May 12th-16th, in Hamburg, Germany to discuss our world leading hardware, applications, and case studies.
Exhibit Hall
Drop by Booth K50 in the exhibit hall to meet tour team and see a display of our System Model H2 chip, Powered by Honeywell.
If you’d like to schedule a 1:1 meeting, send us an email to schedule a time to meet. We have reserved meeting room Hall 5 at ISC, but we’d be happy to set up time to meet with you at or after the event.
Presentations
Our team will be presenting on a range of topics about integrating quantum computing into existing HPC infrastructure. They’ll be speaking about our hardware features and how you can leverage quantum computing with your existing HPC cluster.
May 13th
2:30pm – 3:00pm | Hall 4, ground level in the First-Time Exhibitor Pitch
Understanding Opportunities with Quantum Computing: Learn about our roadmap and key strategies to accelerate your current HPC clusters with the integration of quantum computing.
Presented by Nash Palaniswamy, Chief Commercial Officer, Quantinuum
May 14th
2:00pm – 2:30pm | GENCI Booth K40
Simulation of Transition Metal Oxide (TMO) Atomic Layer Deposition (ALD): A Study of the modelling of electronic energies used in the reactions involved for ALD of ZrO2 and of the reactivity of organometallic precursors used in ALD technology for controlling the quality of thin film deposition on different substrates. The study is a collaboration between C12 Quantum Electronics, Air Liquide and Quantinuum, with support from PAQ Ile de France.
Presented by Maud Einhorn, Technical Account Manager, and Gabriela Cimpan, Partner Manager, Quantinuum
May 14th
2:20pm – 2:35pm | Hall Z – 3rd floor
The Trapped-Ion Quantum Processors at Quantinuum: Quantinuum has constructed two generations of QCCD (quantum charge-coupled device) quantum processors. These processors use trapped-ions for qubits and sympathetic cooling, and shuttling operations to achieve high-fidelity gating operations on individual qubits and between any pair of qubits – making them fully-connected. In this talk, Dave will discuss Quantinuum’s efforts to rigorously benchmark the performance of these machines, highlighting their strengths and weaknesses. He’ll also give a brief survey of our efforts toward near-term quantum advantage and quantum error correction. Finally, he’ll sketch out some technological developments aimed at scaling these processors and the implications for future devices.
Presented by David Hayes, Sr. R&D Manager for Theory and Architecture
May 14th and May 15th
12:30pm – 1:00pm | Meeting Room Hall 5
3:30pm – 4:00pm | Meeting Room Hall 5
Quantum Computing, Error Correction, and Scaling for the Future at Quantinuum: Quantum computing promises to provide significant computational savings in valuable problems such as chemistry, materials, and cybersecurity. To make this a reality, errors in quantum operations must be suppressed significantly below where they are today, and the size of quantum computing hardware must be increased. Quantinuum has recently made significant strides in scaling to larger sizes. Join the session to hear about these exciting results, our plans to scale, and a look towards the future.
Presented by Chris Langer, Fellow and Chairman of the Technical Board, Quantinuum
May 16th
1:00pm – 1:20pm | Hall H, Booth L01 in the HPC Solutions Forum
Harnessing the potential of quantum computing: As the landscape of quantum computing continues to rapidly evolve, the question of when to invest in quantum computing knowledge remains a key strategic consideration for organizations. This talk will explore the challenge of quantum readiness by surveying some of the research collaborations Quantinuum has performed with a range of industry-leading organizations. Using real-world case studies, we will highlight the diverse array of sectors poised to benefit from early quantum adoption, including pharmaceuticals, finance, logistics, and cybersecurity. This talk begins to unpack why many first mover enterprise organizations have made significant investments in quantum readiness already, rather than deferring until the technology matures further.
Presented by Maud Einhorn, Technical Account Manager, Quantinuum
May 16th
4:30pm – 5:00pm | Hall Y1 - 2nd floor
Workshop on Benchmarking and Scaling the Quantum Charged Coupled Device Quantum Computing architecture in the Quantum and Hybrid Quantum-Classical Computing Approaches: The QCCD architecture provides a unique approach to quantum computing where qubits are mobile and operating zones are fixed. In contrast to QC architectures where qubit and couplings between them are fixed, the QCCD architecture naturally provides all-to-all connectivity and high-fidelity operations. Additional advanced features include mid-circuit measurement, qubit reset, conditional logic, and variable angle gates. The talk will present benchmarking of our machines and recent progress towards scaling to larger systems.
Presented by Chris Langer, Fellow and Chair of the Technical Board, Quantinuum
About Quantinuum
Quantinuum, the world’s largest integrated quantum company, pioneers powerful quantum computers and advanced software solutions. Quantinuum’s technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With over 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.
At this year’s Q2B Silicon Valley conference from December 10th – 12th in Santa Clara, California, the Quantinuum team will be participating in plenary and case study sessions to showcase our quantum computing technologies.
Schedule a meeting with us at Q2B
Meet our team at Booth #G9 to discover how Quantinuum is charting the path to universal, fully fault-tolerant quantum computing.
Join our sessions:
Tuesday, Dec 10, 10:00 - 10:20am PT
Plenary: Advancements in Fault-Tolerant Quantum Computation: Demonstrations and Results
There is industry-wide consensus on the need for fault-tolerant QPU’s, but demonstrations of these abilities are less common. In this talk, Dr. Hayes will review Quantinuum’s long list of meaningful demonstrations in fault-tolerance, including real-time error correction, a variety of codes from the surface code to exotic qLDPC codes, logical benchmarking, beyond break-even behavior on multiple codes and circuit families.
Wednesday, Dec 11, 4:30 – 4:50pm PT
Keynote: Quantum Tokens: Securing Digital Assets with Quantum Physics
Mitsui’s Deputy General Manager, Quantum Innovation Dept., Corporate Development Div., Koji Naniwada, and Quantinuum’s Head of Cybersecurity, Duncan Jones will deliver a keynote presentation on a case study for quantum in cybersecurity. Together, our organizations demonstrated the first implementation of quantum tokens over a commercial QKD network. Quantum tokens enable three previously incompatible properties: unforgeability guaranteed by physics, fast settlement without centralized validation, and user privacy until redemption. We present results from our successful Tokyo trial using NEC's QKD commercial hardware and discuss potential applications in financial services.
Wednesday, Dec 11, 5:10 – 6:10pm PT
Quantinuum and Mitsui Sponsored Happy Hour
Join the Quantinuum and Mitsui teams in the expo hall for a networking happy hour.
Particle accelerator projects like the Large Hadron Collider (LHC) don’t just smash particles - they also power the invention of some of the world’s most impactful technologies. A favorite example is the world wide web, which was developed for particle physics experiments at CERN.
Tech designed to unlock the mysteries of the universe has brutally exacting requirements – and it is this boundary pushing, plus billion-dollar budgets, that has led to so much innovation.
For example, X-rays are used in accelerators to measure the chemical composition of the accelerator products and to monitor radiation. The understanding developed to create those technologies was then applied to help us build better CT scanners, reducing the x-ray dosage while improving the image quality.
Stories like this are common in accelerator physics, or High Energy Physics (HEP). Scientists and engineers working in HEP have been early adopters and/or key drivers of innovations in advanced cancer treatments (using proton beams), machine learning techniques, robots, new materials, cryogenics, data handling and analysis, and more.
A key strand of HEP research aims to make accelerators simpler and cheaper. A key piece of infrastructure that could be improved is their computing environments.
CERN itself has said: “CERN is one of the most highly demanding computing environments in the research world... From software development, to data processing and storage, networks, support for the LHC and non-LHC experimental programme, automation and controls, as well as services for the accelerator complex and for the whole laboratory and its users, computing is at the heart of CERN’s infrastructure.”
With annual data generated by accelerators in excess of exabytes (a billion gigabytes), tens of millions of lines of code written to support the experiments, and incredibly demanding hardware requirements, it’s no surprise that the HEP community is interested in quantum computing, which offers real solutions to some of their hardest problems.
As the authors of this paper stated: “[Quantum Computing] encompasses several defining characteristics that are of particular interest to experimental HEP: the potential for quantum speed-up in processing time, sensitivity to sources of correlations in data, and increased expressivity of quantum systems... Experiments running on high-luminosity accelerators need faster algorithms; identification and reconstruction algorithms need to capture correlations in signals; simulation and inference tools need to express and calculate functions that are classically intractable.”
The HEP community’s interest in quantum computing is growing. In recent years, their scientists have been looking carefully at how quantum computing could help them, publishing a number of papers discussing the challenges and requirements for quantum technology to make a dent (here’s one example, and here’s the arXiv version).
In the past few months, what was previously theoretical is becoming a reality. Several groups published results using quantum machines to tackle something called “Lattice Gauge Theory”, which is a type of math used to describe a broad range of phenomena in HEP (and beyond). Two papers came from academic groups using quantum simulators, one using trapped ions and one using neutral atoms. Another group, including scientists from Google, tackled Lattice Gauge Theory using a superconducting quantum computer. Taken together, these papers indicate a growing interest in using quantum computing for High Energy Physics, beyond simple one-dimensional systems which are more easily accessible with classical methods such as tensor networks.
We have been working with DESY, one of the world’s leading accelerator centers, to help make quantum computing useful for their work. DESY, short for Deutsches Elektronen-Synchrotron, is a national research center that operates, develops, and constructs particle accelerators, and is part of the worldwide computer network used to store and analyze the enormous flood of data that is produced by the LHC in Geneva.
Our first publication from this partnership describes a quantum machine learning technique for untangling data from the LHC, finding that in some cases the quantum approach was indeed superior to the classical approach. More recently, we used Quantinuum System Model H1 to tackle Lattice Gauge Theory (LGT), as it’s a favorite contender for quantum advantage in HEP.
Lattice Gauge Theories are one approach to solving what are more broadly referred to as “quantum many-body problems”. Quantum many-body problems lie at the border of our knowledge in many different fields, such as the electronic structure problem which impacts chemistry and pharmaceuticals, or the quest for understanding and engineering new material properties such as light harvesting materials; to basic research such as high energy physics, which aims to understand the fundamental constituents of the universe, or condensed matter physics where our understanding of things like high-temperature superconductivity is still incomplete.
The difficulty in solving problems like this – analytically or computationally – is that the problem complexity grows exponentially with the size of the system. For example, there are 36 possible configurations of two six-faced dice (1 and 1 or 1 and 2 or 1and 3... etc), while for ten dice there are more than sixty million configurations.
Quantum computing may be very well-suited to tackling problems like this, due to a quantum processor’s similar information density scaling – with the addition of a single qubit to a QPU, the information the system contains doubles. Our 56-qubit System Model H2, for example, can hold quantum states that require 128*(2^56) bits worth of information to describe (with double-precision numbers) on a classical supercomputer, which is more information than the biggest supercomputer in the world can hold in memory.
The joint team made significant progress in approaching the Lattice Gauge Theory corresponding to Quantum Electrodynamics, the theory of light and matter. For the first time, they were able study the full wavefunction of a two-dimensional confining system with gauge fields and dynamical matter fields on a quantum processor. They were also able to visualize the confining string and the string-breaking phenomenon at the level of the wavefunction, across a range of interaction strengths.
The team approached the problem starting with the definition of the Hamiltonian using the InQuanto software package, and utilized the reusable protocols of InQuanto to compute both projective measurements and expectation values. InQuanto allowed the easy integration of measurement reduction techniques and scalable error mitigation techniques. Moreover, the emulator and hardware experiments were orchestrated by the Nexus online platform.
In one section of the study, a circuit with 24 qubits and more than 250 two-qubit gates was reduced to a smaller width of 15 qubits thanks our unique qubit re-use and mid-circuit measurement automatic compilation implemented in TKET.
This work paves the way towards using quantum computers to study lattice gauge theories in higher dimensions, with the goal of one day simulating the full three-dimensional Quantum Chromodynamics theory underlying the nuclear sector of the Standard Model of particle physics. Being able to simulate full 3D quantum chromodynamics will undoubtedly unlock many of Nature’s mysteries, from the Big Bang to the interior of neutron stars, and is likely to lead to applications we haven’t yet dreamed of.