Introducing Quantum Origin
A quantum-enhanced cryptographic key generation platform to protect data from advancing threats
- Quantum Origin is the world’s first commercial product built using quantum computers that delivers an outcome that classical computers could not achieve
- Quantum Origin is the first platform to derive cryptographic keys using the output of a quantum computer to ensure data is protected at foundational level against evolving attacks
- It provides immediate protection to enterprises and governments from current security issues, arising from the use of weaker random number generators (RNGs)
- Quantum Origin also helps protect against ‘hack now, decrypt later’ attacks, which are already happening and will have future implications
- The quantum-enhanced cryptographic keys generated by Quantum Origin are based on verifiable quantum randomness and can be integrated into existing systems. The protocol relies on “entanglement”, a unique feature of quantum mechanics.
- Quantum Origin supports traditional algorithms, such as RSA or AES, as well as post-quantum cryptography algorithms currently being standardized by the National Institute for Standards and Technology (NIST)
Cambridge Quantum (CQ), the global leader in quantum software, and a wholly owned subsidiary of Quantinuum, the world’s leading integrated quantum computing company, is pleased to announce that it is launching Quantum Origin – the world’s first commercially available cryptographic key generation platform based on verifiable quantum randomness. It is the first commercial product built using a noisy, intermediate-scale quantum (NISQ) computer and has been built to secure the world’s data from both current and advancing threats to current encryption.
Randomness is critical to securing current security solutions as well as protecting systems from the future threat of quantum attacks. These attacks will further weaken deterministic methods of random number generation, as well as methods that are not verifiably random and from a quantum source.
Today’s systems are protected by encryption standards such as RSA and AES. Their resilience is based on the inability to “break” a long string from a random number generator (RNG). Today’s RNGs, however, lack true, verifiable randomness; the numbers being generated aren’t as unpredictable as thought, and, as a result, such RNGs have been the point of failure in a growing number of cyber attacks. To add to this, the potential threat of quantum attacks is now raising the stakes further, incentivizing criminals to steal encrypted data passing over the internet, with a view to decrypting it later using quantum computers. So-called “hack now, decrypt later” attacks.
Quantum Origin is a cloud-hosted platform that protects against these current and future threats. It uses the unpredictable nature of quantum mechanics to generate cryptographic keys seeded with verifiable quantum randomness from Quantinuum’s H-Series quantum computers, Powered by Honeywell. It supports traditional algorithms, such as RSA or AES, as well as post-quantum cryptography algorithms currently being standardized by the National Institute for Standards and Technology (NIST).
“We have been working for a number of years now on a method to efficiently and effectively use the unique features of quantum computers in order to provide our customers with a defense against adversaries and criminals now and in the future once quantum computers are prevalent,” said Ilyas Khan, CEO of Quantinuum and Founder of Cambridge Quantum. He added “Quantum Origin gives us the ability to be safe from the most sophisticated and powerful threats today as well threats from quantum computers in the future.”
Duncan Jones, head of cybersecurity at Cambridge Quantum, said: “When we talk about protecting systems using quantum-powered technologies, we’re not just talking about protecting them from future threats. From large-scale takedowns of organizations, to nation state hackers and the worrying potential of ‘hack now, decrypt later’ attacks, the threats are very real today, and very much here to stay. Responsible enterprises need to deploy every defense possible to ensure maximum protection at the encryption level today and tomorrow.”
Quantum-enhanced keys on demand
With Quantum Origin, when an organization requires quantum-enhanced keys to be generated, it can now make a call via an API. Quantum Origin generates the keys before encrypting them with a transport key and securely relaying them back to the organization. To give organizations a high-level of assurance that their encryption keys are as unpredictable as possible, Quantum Origin tests the entire output from the quantum computers, ensuring that each key is seeded from verifiable quantum randomness.
These keys are then simple and easy to integrate within customers' existing systems because they’re provided in a format that can be consumed by traditional cybersecurity systems and hardware. This end-to-end approach ensures key generation is on-demand and is capable of scaling with use, all while remaining secure.
Quantum Origin in practice
Quantum Origin keys should be used in any scenario where there is a need for strong cybersecurity. At launch, Cambridge Quantum will offer Quantum Origin to financial services companies and vendors of cybersecurity products before expanding into other high priority sectors, such as telecommunications, energy, manufacturing, defense and government.
The technology has already been used in a series of projects with launch partners. Axiom Space used Quantum Origin to conduct a test of post-quantum encrypted communication between the ISS and Earth — sending the message “Hello Quantum World” back to earth encrypted with post-quantum keys seeded from verifiable quantum randomness. Fujitsu integrated Quantum Origin into its software-defined wide area network (SDWAN) using quantum-enhanced keys alongside traditional algorithms.
For more information:
— Learn more about Quantum Origin
— Discover our partners
— Explore our case studies
— Book a demo with our experts
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.