Beating the thermal limit of qubit initialization with a Bayesian Maxwell's demon
Mark A. I. Johnson, Mateusz T. M\k{a}dzik, Fay E. Hudson, Kohei M., Itoh, Alexander M. Jakob, David N. Jamieson, Andrew Dzurak, and Andrea, Morello

TL;DR
This paper introduces a Bayesian Maxwell's demon approach to initialize qubits in solid-state systems with fidelity surpassing thermal limits, demonstrated on silicon electron spins, and offers a resource-efficient method applicable to various quantum platforms.
Contribution
It presents a novel real-time monitoring technique using a Bayesian Maxwell's demon to achieve high-fidelity qubit initialization beyond thermal constraints.
Findings
Achieved 98.9% ground-state initialization fidelity in silicon electron spins.
Reduced initialization error by 20 times compared to unmonitored methods.
Fidelity could reach 99.9% with hardware improvements.
Abstract
Fault-tolerant quantum computing requires initializing the quantum register in a well-defined fiducial state. In solid-state systems, this is typically achieved through thermalization to a cold reservoir, such that the initialization fidelity is fundamentally limited by temperature. Here, we present a method of preparing a fiducial quantum state with a confidence beyond the thermal limit. It is based on real time monitoring of the qubit through a negative-result measurement -- the equivalent of a `Maxwell's demon' that triggers the experiment only upon the appearance of a qubit in the lowest-energy state. We experimentally apply it to initialize an electron spin qubit in silicon, achieving a ground-state initialization fidelity of 98.9(4)%, corresponding to a 20 reduction in initialization error compared to the unmonitored system. A fidelity approaching 99.9% could be achieved…
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Taxonomy
TopicsQuantum and electron transport phenomena · Quantum Computing Algorithms and Architecture · Quantum Information and Cryptography
