Pith Number

pith:CPXEMLP7

pith:2025:CPXEMLP7RAPF2EJXMK7X2NCX66

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Cobble: Compiling Block Encodings for Quantum Computational Linear Algebra

Charles Yuan

Cobble lets developers write high-level expressions for block encodings that compile automatically to correct and efficient quantum circuits.

arxiv:2511.01736 v2 · 2025-11-03 · cs.PL · quant-ph

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Claims

C1strongest claim

Cobble enables developers to express and manipulate the quantum representations of matrices, known as block encodings, using high-level notation that automatically compiles to correct quantum circuits, with analyses and optimizations that reduce overhead and generate efficient circuits using state-of-the-art techniques such as the quantum singular value transformation, showing 2.6x-25.4x speedups on benchmarks.

C2weakest assumption

That the high-level notation and automatic compilation process in Cobble can produce circuits that are both semantically correct and measurably more efficient than hand-written implementations across the evaluated application domains without hidden correctness or performance issues.

C3one line summary

Cobble is a domain-specific language for quantum block encodings that compiles high-level matrix expressions to optimized circuits using analyses and quantum singular value transformation, achieving 2.6x-25.4x speedups over unoptimized baselines on benchmarks.

References

68 extracted · 68 resolved · 6 Pith anchors

[1] Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · doi:10.48550/arxiv.1605.08695

[2] arXiv:2404.12603 [quant-ph] doi:10.48550/arXiv.2404.12603 Matthew Amy, Dmitri Maslov, and Michele Mosca · doi:10.48550/arxiv.2404.12603

[3] doi:10.1109/TCAD.2014.2341953 E 2014 · doi:10.1109/tcad.2014.2341953

[4] InACM/IEEE Conference on Supercomputing 1990 · doi:10.1109/superc.1990.129995

[5] Available: https://doi.org/10.1145/3480935 2022 · doi:10.1145/3480935

Cited by

4 papers in Pith

A Compilation Framework for Quantum Simulation of Non-unitary Dynamics

Linear-Time T-Gate Optimization via Random Abstraction

Unitaria: Quantum Linear Algebra via Block Encodings

Block-encodings as programming abstractions: The Eclipse Qrisp BlockEncoding Interface

Receipt and verification

First computed	2026-05-18T02:44:33.018031Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

13ee462dff881e5d113762bf7d3457f78c7efd8b544c28e0813ba6e4a8e8deb7

Aliases

arxiv: 2511.01736 · arxiv_version: 2511.01736v2 · doi: 10.48550/arxiv.2511.01736 · pith_short_12: CPXEMLP7RAPF · pith_short_16: CPXEMLP7RAPF2EJX · pith_short_8: CPXEMLP7

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/CPXEMLP7RAPF2EJXMK7X2NCX66 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 13ee462dff881e5d113762bf7d3457f78c7efd8b544c28e0813ba6e4a8e8deb7

Canonical record JSON

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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2025-11-03T16:48:13Z",
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