Orca Computing

Photonic Founded 2019 London, UK

Overview

Photonic quantum computing using time-bin encoding and quantum memories. Focus on room-temperature, datacenter-deployable systems.

Current System: 8 qubits
Funding: Private, raised ~$20M (Series A)
Website: https://www.orcacomputing.com

Key Milestones

  • 2019: Orca Computing founded from Oxford University research
  • 2022: PT-1 photonic quantum computer demonstrated
  • 2024: PT-2 system launched (8-qubit photonic processor)
  • 2024: Integration with UK quantum infrastructure

Technology: Time-Bin Photonic Qubits

Orca uses time-bin encoding: photon arrival times encode qubit states. Combined with quantum memories (rare-earth-doped crystals) to store photons temporarily.

Advantages:

  • Room temperature (photons don’t need cryogenics)
  • Datacenter-compatible (fits in standard racks)
  • Network-native (photons travel through fiber)

Challenge: Photonic quantum computing requires high-quality single-photon sources and detectors. Orca’s approach uses established telecom components.

PT-2 Processor

8-qubit photonic system available for remote access. Target applications:

  • Quantum machine learning (small-scale proof-of-concepts)
  • Quantum networking experiments
  • Photonic circuit prototyping

Not competing with IBM/Google on qubit count. Instead, Orca positions photonics as complementary: good for networking, sensing, communication.

UK Quantum Advantage

Orca benefits from UK quantum infrastructure push (£1B program). Company supplies photonic systems to UK research labs and government facilities.

Strategic fit: UK prioritizes diverse quantum technologies (not just superconducting). Orca fills photonic hardware gap.

Competitive Position

vs. Xanadu:
Both photonic. Xanadu: larger systems (216 modes), focus on Gaussian boson sampling. Orca: smaller, focus on datacenter deployment.

vs. PsiQuantum:
PsiQuantum: fault-tolerant system (late 2020s). Orca: systems available now (near-term revenue).

Niche: Orca targets organizations wanting photonic systems today, not waiting for fault tolerance.

Applications

  • Quantum networking (photons natural for fiber links)
  • Quantum sensing (photonic sensors)
  • Quantum key distribution (secure communication)
  • Hybrid quantum-classical ML (photonic circuits + GPUs)

Industries: Telecommunications, defense, cybersecurity.