Scaling up a modular and industrial neutral-atom-based quantum processing platform

Fault-tolerant universal quantum computers (FTQC) should allow solving complex problems in the fields of optimization, material science, chemistry. However, error-corrected digital quantum computing able to provide high-value to these industrial businesses should feature thousands of logical qubits and will require to overcome many technical challenges. It will thus probably be a long-standing R&D effort for all quantum technologies.

Meanwhile, Noisy-Intermediate-Scale Quantum (NISQ) devices with hundreds of physical qubits prone to noise and errors can already be used today to implement quantum algorithms in the analog quantum computing mode and to explore applications, including in regimes where state of the art classical methods are outperformed.

In this talk, we will first present the modular hardware platform approach followed at Pasqal for engineering and building NISQ – to – FTQC industrial Quantum Processing Units (QPUs) based on neutral atoms. This modularity proves to be a great advantage for scaling up the QPU performance, in terms of qubit number, repetition rate, or quantum processing fidelities.

Therefore, we will then present our latest results in scaling up the technology, focusing on NISQ devices. This includes demonstrating the high-fidelity & low-noise control of over 300 qubits for quantum simulations in regimes extremely challenging for classical computing, increasing the number of qubits beyond 200 in our industrial platform, and pushing our R&D platform to rearranging defect-free arrays of more than 1000 atoms.

Another contribution to the conference will cover the progress along the line of digital computing, towards FTQC.