Quantum Learning Machine
Quantum computing is a fast-growing technology that takes advantage of the laws of quantum mechanics to solve problems too complex for classical computers.
With the advent of the quantum computer, it will be possible to multiply the computing power to be able to simulate interactions within complex systems in seconds which would take traditional supercomputers several thousand years.
With quantum computing, digital possibilities will be transformed for organizations everywhere, particularly in molecular dynamics, physics, pharmaceuticals, autonomous cars, supply chains, financial services, and cyber security, among others.
IDC projects that
worldwide customer
spending for
quantum computing
will grow to
$8.6 billion in 2027.
Get ready for the Quantum revolution!
Quantum is opening possibilities that will transform how processes information and Atos gives you an edge with our cutting-edge technology and expertise in Quantum:
We developed Atos Quantum Learning Machine QLM, a complete programming development platform and the highest-performing quantum simulator in the world.
Atos QLM is being used in numerous countries and empowers research programs in various sectors.
We provide consulting and innovation services to understand, evaluate, identify real use cases, and adopt the technology.
We are the only player in the field of quantum hybridization (convergence of high-performance computing (HPC) and quantum computing).
We developed Q-score, a new quantum metrics reference, applicable to all quantum processors.
It measures the efficiency of running a representative quantum application, a system’s effectiveness at handling real-life problems, instead of its theoretical or physical performance.
We offer myQLM, a python package that is provided with open-source interoperability connectors.
Get ready for the Quantum revolution
The quantum shift is coming, it will enable to solve some complex problems faster than the current most powerful HPC systems
As a computing leader in Europe, Atos launched in 2016 the quantum program led by a high level advisory board and implemented by the Atos Quantum lab.
The Atos Quantum Learning Machine added value explained
With this statement in mind, Atos has created the Quantum Learning Machine, a complete on-premise environment designed to prepare today the Quantum revolution of tomorrow…
The Atos Quantum Learning Machine approach
- Help people learn and experiment with quantum computers
- Develop applications and algorithms
- Without the need to wait for quantum machines to be physically available
Inside the Quantum Learning Machine
The Atos Quantum Learning Machine is a complete appliance
- Offering an universal programming environment to avoid the vendor lock-in
- Simulating up to 41 qubits, on a simple business server physical dimensions
- Gathering universal quantum programming language (AQASM, Atos Quantum Assembly Language, quantum hybrid language based on Python)
- Allowing programmers to develop their own algorithms on any existing or future quantum programming framework
QLM for Combinatorial Optimization
First revealed in June 2020 and officially showcased at SC20, Atos’ QLM for Combinatorial Optimization environment will allow users to prepare codes to tackle combinatorial optimization problems using either quantum annealing or gate-based quantum computing.
As an additional feature of the Atos Quantum Learning Machine (QLM), Atos then allows users to simulate their code either on noisy or noiseless digital quantum simulators or using quantum-inspired modules like Simulated Quantum Annealing (SQA) or Simulated Bifurcation Algorithm (SBA).
Quantum Computing promises to solve larger optimization problems faster and more accurately, which will generate tangible benefits for industries, such as portfolio management, logistics, antenna location, chip design or clinical trial database search.
Key benefits of using both approaches in the Atos QLM

Better understand the specificities of quantum annealing and digital quantum computing

Compare the benefits and constraints of two quantum computing technological paths applied to combinatorial optimization problems

Prepare code to then run on NISQ accelerators or Quantum Annealing machines using the same programming environment
Atos QLM E
Atos Quantum Learning Machine Enhanced – Atos QLM E – is a new range of GPU-accelerated Atos Quantum Learning Machine. Atos QLM E offers an acceleration up to 12 times to simulate variational algorithms that a particularly well-suited for NISQ (Noisy Intermediate Scale Quantum) devices, which will be the first quantum accelerators to be commercialized in the next few years.
By promising to apply, in the near-term, computation capabilities that are beyond the reach of even the most powerful existing computers to solve complex, real-life problems, NISQ devices will play an important role in determining the commercial potential of quantum computing. Herein lies a double challenge for the industry: developing NISQ algorithms is as important as building the machines, since both are required to identify concrete applications. Atos QLM E has been optimized to drastically reduce the compilation time of hybrid quantum-classical algorithms simulations, leading to quicker advancement in application research.
Atos QLM E[nhanced] accelerating research in the NISQ era
- Accelerate your quantum simulations up to 12x
- Optimized for variational algorithms best suited for the NISQ* era (up to 30 qubits)
- Upgrade your QLM to a QLM E very easily to benefit from these enhanced features
Accelerate research on variational algorithms using Atos QLM E:

Quantum Approximate Optimization Algorithm

Variational Quantum Eigensolver / Variational Imaginary Time Evolution

Variational Quantum Factoring

Variational Quantum Classifier
Join the Quantum revolution with Atos experts
Atos provides a broad range of consulting and integration services that leverage Atos QLM intuitive programming environment.
Our quantum experts accompany you at every step of our journey, from the discovery of the Atos QLM appliance to the development and simulation of your first quantum codes.
Our methodology is structured around a few simple but proven steps to ensure that our world-class quantum experts understand your goals, deliver the desired outcomes, and ensure that you have a clear plan on how you will proceed.
- Quantum computing basis: A comprehensive approach to quantum computing. A half-day session for beginners.
- Atos QLM Fast Start: Quick knowledge ramp-up on the Atos QLM appliance. 2-day sessions for intermediate.
- Decoding of quantum algorithms: Principles and building steps of specific quantum algorithms. 2-day sessions for advanced.
- Proof of concept: Study the feasibility of quantum implementation relative to the real use cases. 5 days to 8 months for business and experts.
Atos Fast Start program with the Center of Excellence in advanced computing
- Discover the Atos QLM
- Develop & Simulate your codes
- AQASM & pyAQASM
- Compile & Execute your algorithms…
- During two days
- On your premises
Q-score: Measure what truly matters
On December 4th, 2020, the Atos Quantum Advisory Board announced Q-score, the first application-based metrics that aims at comparing the performances of NISQ devices.
Explore the capabilities of quantum programming on your laptop using the world’s first quantum simulator’s programming framework.
The Atos QLM User Club is an independent world-wide group of users that aims at exchanging on the future of computing, emerging technologies, new quantum algorithms and quantum programming best practices.
Accelerating the quantum revolution with Quantum Learning as a Service (QLaaS) A collaboration brought to you by STFC Hartree Centre and Atos.
Atos’s Center for Excellence (CoE) helps you get optimal performance and maximum energy efficiency.
Already widely adopted
Thanks to its scalability, openness and unrivalled power, Atos Quantum Learning Machine is already adopted by major quantum players:
- CESGA – Galician Supercomputing Center
- Intelligent Wave Inc. (Japan)
- CSC – IT Center for Science (Finland)
- C-DAC (India)
- TotalEnergies (France)
- STFC Hartree Centre (UK)
- Argonne National Laboratory (USA)
- FH Upper Austria (Austria)
- CEA – Atomic Energy Commission (France)
- Oak Ridge National Laboratory (USA)
- CNCS – Centre National de Calcul Scientifique (Senegal)
- Bayer (Germany)
- Forschungszentrum Jülich (Germany)
- Université de Reims Champagne-Ardennes (URCA) – (France)