We work across superconducting, trapped-ion and photonic platforms through cloud QPU access, and we're upfront about which parts of a project run on real hardware today versus high-fidelity classical simulation.
Where a quantum approach might actually earn its complexity.
Combinatorial optimization work — routing, scheduling, portfolio problems — evaluated for genuine quantum advantage against strong classical baselines.
Grover-family search adaptations and quantum sampling methods for problems where classical approaches scale poorly.
VQE and QAOA circuit design and tuning for near-term, noisy hardware, with realistic error budgets.
Rigorous analysis of whether a proposed quantum method actually beats the best known classical algorithm for your specific instance sizes.
Head-to-head benchmarking against classical solvers, reported honestly — including the cases where classical still wins today.
Original algorithm research, written up to publishable standard where the client wants it shared with the field.
Protecting systems that need to outlive the arrival of cryptographically relevant quantum hardware.
A full inventory of where and how vulnerable cryptography is used across your systems — the step most migrations skip.
Selecting NIST-standardized post-quantum algorithms appropriate to your performance and compliance constraints.
A phased, realistic migration plan sequenced by risk — not a single "rip and replace" mandate.
Assessing which of your current data is at risk from adversaries storing encrypted traffic today for future decryption.
Implementation support for hybrid classical/post-quantum schemes during the transition period.
Mapping migration work to relevant regulatory guidance and industry timelines.
Software that runs today, ports forward as hardware matures.
Simulation tools for materials discovery problems — properties, stability and behavior under different conditions.
Quantum chemistry simulation for molecular structure and reaction modeling, built on established variational methods.
Simulation environments for testing quantum-inspired approaches to routing and scheduling before committing real QPU time.
Purpose-built classical simulators for a specific research question, tuned for speed over general-purpose flexibility.
Realistic noise and decoherence modeling so simulation results reflect what real hardware would actually produce.
Interfaces for exploring simulation output that a non-specialist team member can actually read.
Sensible architecture, not a QPU bolted onto everything.
Defining which parts of a workload genuinely benefit from quantum processing versus staying classical.
Job scheduling and orchestration across cloud quantum providers, including fallback to classical solvers when queues or noise levels make sense.
Clean integration points so quantum components can be swapped or upgraded as better hardware becomes available.
Realistic cost modeling for cloud QPU access against the performance gain actually delivered.
Independent evaluation of quantum hardware and cloud providers against your specific workload, not a vendor's benchmark suite.
Taking a working prototype through the reliability and monitoring work needed for production use.
Working alongside university groups and national labs.
Joint research projects with university physics and computer science departments, structured around a shared research question.
Funding and co-supervising academic research aligned with a client's long-term technical interests.
Co-authoring and preparing research for peer-reviewed publication.
Presenting joint research at relevant academic and industry conferences.
Technical writing support for research grant applications involving quantum computing components.
Structured internships and research placements connecting academic talent with applied client problems.
Separating genuine near-term opportunity from hype.
Plain-language briefings for leadership teams on what's realistic in the next one, three and ten years — no overselling.
Hands-on workshops for technical teams covering algorithm basics, current hardware limits, and practical toolchains.
A structured review of where quantum computing genuinely intersects with your business problems today.
Advisory support for teams deciding how much, and when, to invest in quantum readiness.
Helping technical leaders understand what quantum computing skills to hire for, and when.
A standing advisory relationship to keep pace with a field that's still moving quickly.
Most engagements start with a short technical assessment. That's often enough to tell you honestly whether quantum belongs in your roadmap yet.