Unlocking early fault-tolerant quantum computing with mitigated magic dilution
Surabhi Luthra, Alexandra E. Moylett, Dan E. Browne, Earl T. Campbell

TL;DR
This paper introduces mitigated magic dilution (MMD), a novel method leveraging quantum error mitigation to efficiently implement small-angle rotations, enhancing early fault-tolerant quantum computing capabilities within resource constraints.
Contribution
The paper presents MMD, a new approach for synthesizing small-angle rotations using error mitigation, outperforming existing methods in resource efficiency for early fault-tolerant quantum devices.
Findings
MMD outperforms state-of-the-art techniques in resource requirements for 2D Fermi-Hubbard model simulations.
MMD achieves a better-than-quadratic resource improvement over classical simulators.
Applicable to devices supporting millions of quantum operations, enabling early fault-tolerant demonstrations.
Abstract
As quantum computing progresses towards the early fault-tolerant regime, quantum error correction will play a crucial role in protecting qubits and enabling logical Clifford operations. However, the number of logical qubits will initially remain limited, posing challenges for resource-intensive tasks like magic state distillation. It is therefore essential to develop efficient methods for implementing non-Clifford operations, such as small-angle rotations, to maximise the computational capabilities of devices within these constraints. In this work, we introduce mitigated magic dilution (MMD) as an approach to synthesise small-angle rotations by employing quantum error mitigation techniques to sample logical Clifford circuits given noisy encoded magic states. We explore the utility of our approach for the simulation of the 2D Fermi-Hubbard model. We identify evolution time regimes where…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
