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This research proposes a novel architecture for classical reversible computation using coherent spin dynamics in quantum-dot arrays, offering energy efficiency orders of magnitude lower than standard CMOS without requiring active superposition. By utilizing unitary rotations and shuttling bits until readout, the system addresses critical data-center heat dissipation issues driven by AI workloads while maintaining compatibility with existing semiconductor hardware. The study demonstrates a dual-use platform capable of supporting both classical reversible logic and quantum algorithms depending on whether spin states are measured or manipulated via superposition.
Surse care acoperăarXiv, AI Alignment Forum, Quantum Computing Report, Quantum Zeitgeist
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Classical Reversible Computation by Quantum Coherence

arXiv2 min de cititArticolul și perspectiva sunt în engleză.

arXiv:2607.06219v3 Announce Type: replace-cross Abstract: Rising energy demand from data-center and AI applications has renewed interest in reversible computation, where logic need not dissipate heat at every step if information is uncomputed. Implementations have so far been classical: adiabatic CMOS reduces dissipation by slowing charge motion but is still limited by the threshold physics of transistors. Here we propose classical reversible logic implemented by coherent spin dynamics in a spin quantum-dot array, with inputs and outputs in classical basis states and no algorithmic use of superposition. The same spin stores, transports, and computes, with unitary rotation replacing irreversible switching. The universal building block is an iToffoli gate driven by DC voltage pulses and anisotropic exchange in Ge/Si hole spins. Simulations with experimental parameters reproduce the Toffoli truth table and yield a testable error landscape. Because shuttling transports the bit without measurement, logic and data movement remain reversible until readout. Millivolt pulses on femtofarad gates yield a gate energy below the 4 K Landauer scale, about five (eight) orders of magnitude below a room-temperature CMOS Toffoli with (without) 4 K cooling overhead. The same semiconductor hardware is therefore dual-use, supporting quantum algorithms when superposition is used and classical reversible logic otherwise.

Abstract:Rising energy demand from data-center and AI applications has renewed interest in reversible computation, where logic need not dissipate heat at every step if information is uncomputed. Implementations have so far been classical: adiabatic CMOS reduces dissipation by slowing charge motion but is still limited by the threshold physics of transistors. Here we propose classical reversible logic implemented by coherent spin dynamics in a spin quantum-dot array, with inputs and outputs in classical basis states and no algorithmic use of superposition. The same spin stores, transports, and computes, with unitary rotation replacing irreversible switching. The universal building block is an iToffoli gate driven by DC voltage pulses and anisotropic exchange in Ge/Si hole spins. Simulations with experimental parameters reproduce the Toffoli truth table and yield a testable error landscape. Because shuttling transports the bit without measurement, logic and data movement remain reversible until readout. Millivolt pulses on femtofarad gates yield a gate energy below the 4 K Landauer scale, about five (eight) orders of magnitude below a room-temperature CMOS Toffoli with (without) 4 K cooling overhead. The same semiconductor hardware is therefore dual-use, supporting quantum algorithms when superposition is used and classical reversible logic otherwise.

52-page Supplementary Information attached as ancillary file. v3: adds a one-bit reversible adder, an energy analysis of the classical control electronics, and shorter optimized pulse sequences

Mesoscale and Nanoscale Physics (cond-mat.mes-hall); Quantum Physics (quant-ph)

arXiv:2607.06219 [cond-mat.mes-hall]

(or arXiv:2607.06219v3 [cond-mat.mes-hall] for this version)

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