Quantum algorithms for classical Boolean functions via adaptive measurements: Exponential reductions in space-time resources
Austin K. Daniel, Akimasa Miyake

TL;DR
This paper demonstrates that adaptive measurement-based quantum computation significantly reduces the resource requirements for computing Boolean functions, especially mod-$p$, by leveraging adaptive strategies and quantum signal processing.
Contribution
It introduces adaptive $l2$-MBQC algorithms that compute mod-$p$ functions with optimal space-time resource scaling, surpassing nonadaptive methods.
Findings
Adaptive $l2$-MBQC reduces exponential resource needs of nonadaptive approaches.
Constructs algorithms based on quantum signal processing for mod-$p$ functions.
Provides an alternative proof of a separation between quantum and classical circuit powers.
Abstract
The limited computational power of constant-depth quantum circuits can be boosted by adapting future gates according to the outcomes of mid-circuit measurements. We formulate computation of a variety of Boolean functions in the framework of adaptive measurement-based quantum computation using a cluster state resource and a classical side-processor that can add bits modulo 2, so-called -MBQC. Our adaptive approach overcomes a known challenge that computing these functions in the nonadaptive setting requires a resource state that is exponentially large in the size of the computational input. In particular, we construct adaptive -MBQC algorithms based on the quantum signal processing technique that compute the mod- functions with the best known scaling in the space-time resources (i.e., qubit count, quantum circuit depth, classical memory size, and number of calls to the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Numerical Methods and Algorithms
