Quantum cryptanalysis company

Quantum computing for cryptanalysis

Potomac builds AI research systems and quantum software for practical cryptanalysis. Our long-term mission includes recovering inaccessible Bitcoin and returning assets through an accountable process.

Explore our researchSafety and recovery
How recovery and return would work

The research system

How Potomac does research

We combine proprietary model adaptations, parallel experimentation and automated evaluation to develop and test cryptanalytic software. Researchers define the questions and assess the evidence.

AI research
Language models adapted by the team propose and implement candidate circuits inside a research harness; deterministic evaluators test them before anything counts.
AI research
Cryptanalytic algorithms
Reversible elliptic-curve arithmetic and the circuits built from it, compared against reproduced baselines under explicit resource accounting.
Cryptanalytic algorithms
Quantum execution
Compilation, fault-tolerance modeling and integration with quantum hardware developed by specialist providers, so that a smaller circuit becomes a workload that runs.
Quantum execution

Why it matters

Assets that cannot migrate

A post-quantum upgrade can protect future transactions, but it does not move existing balances by itself. Each owner has to authorize that move, and an owner who has lost the necessary credentials cannot do so in the usual way.

The network must then decide how to handle the assets left behind: continue to accept the old signatures, retire them, or require other evidence of ownership. Each choice changes what can be recovered and how ownership is established. Recovery therefore needs governance as much as capability, which is why Potomac is developing its recovery-and-return framework before any operation involves third-party assets.

Assets and migrationRecovery and return

Evidence

Selected work

  1. 9 September 2026

    arXiv preprint

    ECDSA.Fail: Open Autoresearch for Optimizing Elliptic-Curve Point Addition in Shor's Algorithm

    Manuel B. Santos contributed to major technical and empirical sections of this open benchmark study of point-addition circuits, under his MultiVM Labs affiliation.

    The announcementarXiv 2609.09582Our reading

  2. 8 September 2026

    Accepted circuit-benchmark contribution

    Ross Nkama’s accepted ECDSA.Fail submission

    Developed with the team’s AI research harness: a reproduced baseline, parallel candidates, automated evaluation and a fresh-clone rerun, reducing the executed Toffoli count at unchanged qubit width.

    The research case studyValidation commit

Explore the Library

People and collaboration

The people behind the work

Potomac is led by Ivan Miskovic, Ross Nkama and Manuel B. Santos, with active openings across the research program.

Join the team

Fifteen active openings across quantum research, execution and infrastructure, AI, and safety.

Open roles

Hardware and specialist software

Potomac seeks compute access and joint experiments with quantum computing companies and specialist software providers.

Hardware and software ecosystem