Quantum Computing
Quantum computing research and applications — algorithms, post-quantum cryptography, and hybrid systems.
Our Focus
We investigate what becomes possible when classical limits no longer apply. Quantum computing is still early, but the implications for cryptography, optimization, and simulation are too significant to ignore.
Our work is grounded in practical reality — we study quantum algorithms and hybrid classical-quantum systems with an eye toward near-term applications, not just theoretical promise.
Key Research Areas
Quantum Algorithms
Algorithm design for NISQ-era and fault-tolerant quantum hardware. We study which problems genuinely benefit from quantum speedup and which are better left to classical methods.
Post-Quantum Cryptography
Migration strategies and implementation guidance for post-quantum cryptographic standards. We research how organizations should prepare for a world where current encryption may become vulnerable.
Hybrid Systems
Classical-quantum integration patterns and middleware. We study how quantum processors can be composed with classical infrastructure to solve problems that neither could handle alone.
Key Questions
- Which real-world problems will see meaningful quantum advantage first?
- How should organizations plan their post-quantum cryptography migration timeline?
- What are the practical engineering challenges of hybrid classical-quantum systems?
- Where is quantum hype outpacing quantum reality, and why does that matter?
Frequently Asked Questions
- Which real-world problems will see meaningful quantum advantage first?
- The most likely near-term candidates are molecular simulation for drug discovery and materials science, certain optimization problems in logistics and finance, and cryptographic applications. Problems with inherent quantum structure — like simulating quantum systems — will benefit first, while general-purpose speedups remain further out.
- How should organizations plan their post-quantum cryptography migration timeline?
- Organizations should begin with a cryptographic inventory to identify all systems using vulnerable algorithms, prioritize data with long confidentiality requirements (harvest-now-decrypt-later risk), adopt hybrid schemes that layer post-quantum algorithms alongside classical ones, and track NIST PQC standard finalization for production migration planning.
- What are the practical engineering challenges of hybrid classical-quantum systems?
- Key challenges include managing latency between classical and quantum processors, designing effective problem decomposition strategies, handling noisy intermediate-scale quantum (NISQ) hardware limitations, building middleware that abstracts hardware differences, and developing testing and debugging workflows for systems that span fundamentally different computing paradigms.
- Where is quantum hype outpacing quantum reality, and why does that matter?
- Hype exceeds reality in claims of near-term general quantum supremacy, quantum AI convergence timelines, and the immediacy of cryptographic threats. This matters because it leads to misallocated investment, premature migration projects, and skepticism that undermines legitimate quantum research. Honest assessment of timelines helps organizations make better strategic decisions.