Deep Quantum Labs

Biamonte Group — Skolkovo Institute of Science and Technology
QUANTUM SOFTWARE INITIATIVE

Quantum enhanced algorithms for machine learning and quantum enhanced simulation

QUANTUM COMPLEXITY SCIENCE INITATIVE

A ‘quantum theory’ of networked and complex systems—quantum walks, information theory of complex networks

TENSOR NETWORKS INITIATIVE

Quantum algorithms for tensor contractions, machine learning and simulation

HAMILTONIAN COMPLEXITY INITIATIVE

Universal adiabatic quantum computing and quantum algorithms simulating chemical physics

A theory of collective quantum effects

We work to understand collective quantum effects and this understanding enables us to utilize these same collective quantum effects in e.g. quantum enhanced machine learning software. Very generally, we call our topic, quantum complexity science.

Our approach forms a coherent, challenging and multidisciplinary research agenda, segmented as four interwoven initiatives.

Collective quantum effects can arise when at least one variable is unbounded and the system/problem exhibits an emergent property: such as an empirically exhibited—though not yet proven outside of the oracle model—exponential separation between quantum and stochastic computational processes. (Here the unbounded variable would be the size of the problem instance.)

The DNA of Quantum Complexity Science

The conceptual building blocks behind quantum complexity science—bottom arch: left utilizing and right understanding collective quantum effects.

Deep Quantum Labs is lead by Prof Jacob Biamonte and is proudly part of the Skolkovo Institute of Science and Technology—Skoltech—a unique English-speaking international graduate only research university. Established in collaboration with M.I.T., Skoltech integrates the best Russian scientific traditions with twenty-first century entrepreneurship and innovation.

Research Highlights

The frontier of quantum machine learning