Dynamic Cooling on Contemporary Quantum Computers
arXiv:2401.09134 · doi:10.1103/PRXQuantum.5.030309
Abstract
We study the problem of dynamic cooling whereby a target qubit is cooled at the expense of heating up further identical qubits, by means of a global unitary operation. A standard back-of-the-envelope high temperature estimate establishes that the target qubit temperature can only be dynamically cooled by at most a factor of . Here, we provide the exact expression for the minimum temperature to which the target qubit can be cooled and reveal that there is a crossover from the high initial temperature regime where the scaling is in fact to a low initial temperature regime where a much faster scaling of occurs. This slow scaling, which was relevant for early high-temperature NMR quantum computers, is the reason dynamic cooling was dismissed as ineffectual around 20 years ago; the fact that current low-temperature quantum computers fall in the fast scaling regime, reinstates the appeal of dynamic cooling today. We further show that the associated work cost of cooling is exponentially more advantageous in the low temperature regime. We discuss the implementation of dynamic cooling in terms of quantum circuits and examine the effects of hardware noise. We successfully demonstrate dynamic cooling in a 3-qubit system on a real quantum processor. Since the circuit size grows quickly with , scaling dynamic cooling to larger systems on noisy devices poses a challenge. We therefore propose a suboptimal cooling algorithm, whereby relinquishing a small amount of cooling capability results in a drastically reduced circuit complexity, greatly facilitating the implementation of dynamic cooling on near-future quantum computers.
19 pages, 11 figures
References in corpus (25)
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- Elementary gates for quantum computation
- The Physical Implementation of Quantum Computation
- Error mitigation for short-depth quantum circuits
- Trapped-Ion Quantum Computing: Progress and Challenges
- Reliable Quantum Computers
- High-fidelity preparation, gates, memory and readout of a trapped-ion quantum bit
- Maximal work extraction from quantum systems
- High-fidelity parallel entangling gates on a neutral atom quantum computer
- Quantum technologies need a Quantum Energy Initiative
- Algorithmic Cooling and Scalable NMR Quantum Computers
- Mitigating depolarizing noise on quantum computers with noise-estimation circuits
- Experimental implementation of heat-bath algorithmic cooling using solid-state nuclear magnetic resonance
- A spin based heat engine: demonstration of multiple rounds of algorithmic cooling
- Simulating Quantum Materials with Digital Quantum Computers
- Thermodynamic limits of dynamic cooling
- Quantum resources for purification and cooling: fundamental limits and opportunities
- The Asymptotic Cooling of Heat-Bath Algorithmic Cooling
- Achievable polarization for Heat-Bath Algorithmic Cooling
- High-Fidelity Measurement of a Superconducting Qubit using an On-Chip Microwave Photon Counter
- A Cyclic Cooling Algorithm
- Semi-optimal Practicable Algorithmic Cooling
- Quantum criticality using a superconducting quantum processor
- Algorithmic Cooling in Liquid State NMR
- Novel Technique for Robust Optimal Algorithmic Cooling
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- Quantum-Computer-Based Verification of Quantum Thermodynamic Uncertainty Relation
- Fast, Accurate, and Local Temperature Control Using Qubits
- Fundamental precision limits in finite-dimensional quantum thermal machines
- Cooling a Qubit using n Others
- Memory effects in repeated uses of quantum channels