Workshop Topics

Contributions can range from very fundamental questions of energy in quantum systems or optimal use of algorithmic resources,  to very practical questions of improving a given enabling technology. Participants should be open to an interdisciplinary approach in which they learn about all these different questions, while sharing their own expertise.

Physical resource costs will be explored at 5 interconnected levels, defining the following 5 topics:

(1) Fundamental quantum devices: Focuses on the flows of energy, entropy and information in noisy quantum devices (quantum processors, quantum gates, quantum interfaces, quantum batteries...) How noise impacts low-level performances. Fundamental resource cost of noisy quantum processes. Fundamental quantum bounds and relation with irreversibility at the quantum level, etc. Novel probes of energy and dissipation (thermometry, etc), novel devices to evacuate or exploit heat (thermal switches, thermoelectric, etc).

(2) Quantum hardware: Focuses on the low-level resource cost (especially energy) of quantum processes in real hardware, including enabling technologies. Connection between the quantum and the macroscopic levels: performance vs resource costs, fundamental costs vs macroscopic costs. Physical resource efficiency of quantum computing, communication, sensing.

(3) Quantum algorithms and software: Focuses on the high-level resource costs of quantum information processing. Impact of compilers, architectures, qubit connectivity, space-time trade-offs, error correcting code, classical decoders, etc.

(4) Hybrid HPC-quantum, reservoir computing, etc: Physical resource cost and computing efficiencies of classical high performance computing (HPC) in hybrid architectures embedding quantum processors, quantum machine learning.  Reservoir and neuromorphic computing. Classical computing inspired by quantum algorithms, etc.

(5) Classical computing & classical information thermodynamics: Resource costs in classical computing, including reversible or adiabatic computing. Classical logic built with quantum systems (single-flux quantum logic), etc.  The fundamental thermodynamic costs related to processing classical information, stochastic thermodynamics of information, etc.