Space and Time Cost of Continuous Rotations in Surface Codes
Zhu Sun, Balint Koczor

TL;DR
This paper evaluates methods for implementing continuous rotations in surface code quantum computers, focusing on space-time costs and practical applications like option pricing.
Contribution
It constructs surface code layouts for catalyst towers in practical quantum algorithms and compares their efficiency to conventional methods across different code distances.
Findings
Catalyst towers can reduce runtime and spacetime volume at small and medium code distances.
Conventional Clifford+T synthesis may be more efficient at large code distances.
Results are sensitive to application scenarios and parameter choices.
Abstract
While Clifford operations are relatively easy to implement in fault-tolerant quantum computers,continuous rotation gates remain a significant bottleneck in typical quantum algorithms. In this work, we ask the question: "What is the most efficient approach for implementing continuous rotations in a surface code architecture?" Several techniques have been developed to reduce the T-count or T-depth of rotations, such as Hamming weight phasing and catalyst towers. However, these methods often require additional a number of ancilla qubits, and thus the ultimate cost function one needs to optimise against should rather be the total runtime or the total space required for performing a rotation. We explicitly construct surface code layouts for catalyst towers in two practical application examples in the context of option pricing: (a) implementing a phase oracle circuit, which is a ubiquitous…
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