Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session T42: Thermodynamics of Quantum Information ProcessingInvited Session Live Streamed
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Sponsoring Units: GSNP Chair: Nahuel Freitas, University of Luxembourg Room: McCormick Place W-375A |
Thursday, March 17, 2022 11:30AM - 12:06PM |
T42.00001: Quantum thermodynamics for quantum computers (and vice-versa) Invited Speaker: Michele Campisi A major technological obstacle on the road towards the development of effective quantum computers is represented by thermal noise. Quantum thermodynamics provides promising methods to tame it and master energy exchanges in quantum devices. In addition, quantum computers themselves can help refining the understanding of quantum thermodynamic phenomena. This gives origin to a virtuous cycle of mutual improvement. In this talk I will illustrate how quantum computers have been (and can be) used to verify theoretical quantum thermodynamic predictions [1], and how quantum thermodynamic predictions can in turn help quantifying and mastering dissipation in a quantum computer [2,3]. |
Thursday, March 17, 2022 12:06PM - 12:42PM |
T42.00002: Exploring Fundamental Limits of Reversible Computing Technologies from Nonequilibrium Quantum Thermodynamics Invited Speaker: Mike Frank Landauer and Bennett famously argued that traditional non-reversible computational architectures suffer from a fundamental minimum energy dissipation (and entropy generation) that is required to carry out ordinary logically irreversible computational operations, but that alternative reversible computational architectures can circumvent this limit. |
Thursday, March 17, 2022 12:42PM - 1:18PM |
T42.00003: Nonlinear topological lattices and networks in exciton-polariton systems Invited Speaker: Tim Liew Exciton-polaritons are hybrid states of light and matter formed in specially grown semiconductor microcavities. They merge properties of condensed matter systems such as significant nonlinear interactions with properties of photonic systems such as near micron-wavelength allowing patterning of arbitrary lattices and graphs. The combination of available fundamental effects gives significant flexibility for designing topological bandstructures. In addition, nonlinear exciton-polariton lattices are suited to forming reservoir type neural networks. These were already shown to allow the performance of benchmark classical tasks such as character recognitions. Theoretical works predict future applications in quantum tomography and information processing. |
Thursday, March 17, 2022 1:18PM - 1:54PM |
T42.00004: Shortcuts to adiabaticity in quantum and stochastic thermodynamics Invited Speaker: David Guery-Odelin Shortcuts to adiabaticity (STA) have first been investigated in quantum mechanics and are associated with the design of fast routes towards the final results of slow, adiabatic changes of the controlling parameters of a system. A motivation to apply STA methods to quantum systems is to manipulate them on timescales shorter than decoherence times. These methods have been subsequently extended to generate shortcuts between two states, regardless of the existence of an adiabatic connection between them, or to manipulate quantum systems in the presence of dissipation. STA methods also combine well with other concepts and techniques, in particular, with optimal control theory. While this field is rooted in quantum mechanics, related questions emerge in stochastic thermodynamics. In this talk, I propose to review a few methods and applications of STA techniques in both domains, and discuss how they cross-fertilize. |
Thursday, March 17, 2022 1:54PM - 2:30PM |
T42.00005: Stochastic computing around kT Invited Speaker: Nahuel Freitas In this talk we will review the basic concepts involved in the stochastic modeling of non-linear electronic circuits such as those employed in realistic computing architectures (mainly CMOS circuits). While this class of circuits is usually operated in a deterministic regime, we will discuss how last generation nanoscale fabrication processes enable new design possibilities, where thermal fluctuations are exploited as a resource. In particular, we will discuss the relation between reliability and entropy production in non-equilibrium electronic memories and the design of a binary stochastic neuron. Based on this neuron design, we will discuss the physical implementation of stochastic annealing schemes and artificial neural networks operating at low power. Analogies and possible connections with quantum technologies and computing schemes will be established. |
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