Oxford Quantum Circuits

Oxford Quantum Circuits (OQC) is a UK quantum computing company, spun out of Oxford University in 2017, that builds superconducting quantum processors using a patented 3D coaxial architecture it calls the Coaxmon, which routes control lines vertically through the chip stack rather than across the surface. It operates its machines as a service rather than selling chips, offering cloud and on-premises access to enterprise and research customers, and in 2023 launched Toshiko, a 32-qubit system. OQC is among the larger European quantum hardware developers and remains privately held, backed by venture and strategic investors including Japanese financial group SBI.

AI-written profile · not yet reviewed · 18 September 2026

Headquarters: Reading, United Kingdom
Founded: 2017
Status: Private

superconducting

Investors Oxford Science Enterprises, Lansdowne Partners, SBI Group

Coverage

Quantum Computing Report23 September 2026

OQC, Citi, and NQCC Evaluate Quantum-Compressed PINNs for Financial Derivative Pricing Workflows

Oxford Quantum Circuits, Citi, and the UK's National Quantum Computing Centre completed a joint study on Quantum-compressed Physics-Informed Neural Networks (QPINNs) for pricing financial derivatives. The evaluation found that QPINNs could reduce model complexity while preserving pricing accuracy. The work targeted workflows relevant to Citi's derivatives business.

OutlookPlausible

Within two years, Citi could begin piloting QPINN-based pricing models on OQC's superconducting hardware for internal risk analytics on complex derivatives, if the compression technique scales beyond the study's test cases.

algorithms software superconductingCitiNational Quantum Computing CentreOxford Quantum Circuits

Quantum Computing Report18 September 2026

Oxford Quantum Circuits Releases Erado: An Open-Source Qiskit Simulator for Erasure Noise and Post-Selection

Oxford Quantum Circuits has released Erado, an open-source Qiskit simulator for erasure noise and post-selection, available through its QCaaS SDK. The tool lets researchers model erasure-aware noise and evaluate quantum error mitigation techniques. Accompanying research indicates post-selection can fully mitigate erasure noise when error rates are below 3.0%.

OutlookPlausible

OQC could use Erado-derived erasure models to add erasure-aware post-selection to its superconducting QCaaS platform within two years, letting users salvage shots that would otherwise be discarded.

algorithms software superconductingOxford Quantum Circuits