Сompiler of classical algorithms into oracles for quantum computing

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Project description

Сompiler of classical algorithms into oracles for quantum computing

Achievements:

CRC32 hash function (4 byte input) - 411 qubits.

Architecture:

Parsing source code in AST (planned).
Construction of a single large expression.
Construction of an even larger logical expression for each bit of the output result of the algorithm.
Expression optimization (minimizing unique logic operations and qubit allocations).
Generation of a quantum circuit from a DAG of logical operations.

Authors:

Alexander Averyanov - author
Evgeny Kiktenko - mentor
Dmitry Ershov - helped with the optimizer design

Example:

import quantpiler

a = quantpiler.Expr("a", 3)
b = a.argument("b", 2)
add = a + b
xor = add ^ 0b100
and_const = xor & 0b111

circ = and_const.compile()
qc = quantpiler.circuit_to_qiskit(circ)

qc.draw('mpl')

Resulting circuit

Project details

These details have not been verified by PyPI

Project links

Source Code

GitHub Statistics

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Release history Release notifications | RSS feed

0.3.5

Dec 23, 2023

0.3.4

Dec 20, 2023

0.3.3

Dec 20, 2023

0.3.2

Dec 19, 2023

This version

0.3.1

Dec 19, 2023

0.3.0

Dec 19, 2023

0.2.0

Feb 9, 2023

0.1.7

Sep 22, 2022

0.1.6

Aug 21, 2022

0.1.5

Aug 20, 2022

0.1.4

Aug 19, 2022

0.1.3

Aug 19, 2022

0.1.2

Aug 19, 2022

0.1.1

Aug 19, 2022

0.1.0

Aug 19, 2022

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quantpiler-0.3.1.tar.gz (61.2 kB view hashes)

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quantpiler-0.3.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl (2.5 MB view hashes)

Uploaded Dec 19, 2023 PyPy manylinux: glibc 2.28+ x86-64

quantpiler-0.3.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl (2.5 MB view hashes)

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quantpiler-0.3.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl (2.5 MB view hashes)

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quantpiler-0.3.1-cp312-none-win_amd64.whl (1.7 MB view hashes)

Uploaded Dec 19, 2023 CPython 3.12 Windows x86-64

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Uploaded Dec 19, 2023 CPython 3.12 Windows x86

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Uploaded Dec 19, 2023 CPython 3.11 Windows x86-64

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Uploaded Dec 19, 2023 CPython 3.10 Windows x86

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Uploaded Dec 19, 2023 CPython 3.8 manylinux: glibc 2.28+ x86-64

Hashes for quantpiler-0.3.1.tar.gz

Hashes for quantpiler-0.3.1.tar.gz
Algorithm	Hash digest
SHA256	`c4d19f92a81d88982b4b8991a0d817d19ff299a5bd4d874b3d8bdfed2d323cc6`
MD5	`0180df9dba384da6bffa5d572312460d`
BLAKE2b-256	`c5d504789dfd726a85c1c7569922331df07a4187948344baff96cd1b6107d624`

Hashes for quantpiler-0.3.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`d6cdfc41a400c9294aa5b20aa0088db0fa81dc2998843108a741eeb206083dc3`
MD5	`0c1ea623d19fbdd77faf5022504326b8`
BLAKE2b-256	`cce6276d23bdb0543b798b6c9c441f51fed8afb6c04763b6db1880202a4ae831`

Hashes for quantpiler-0.3.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`10a0121effafb1397eb5aa61adbe2100405e475fb2680a37d4cda73d797de3b0`
MD5	`02fd39b3882196c784127cf121eb2f76`
BLAKE2b-256	`89d28b8603f8ccc45e0c75aca691825d53841aab08c14c40075d01b365d6bc9f`

Hashes for quantpiler-0.3.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`04b4439ff5a348af3e1af26bb8f9637ada1ba378f5786b515009abd5316000a6`
MD5	`5974794dd5f91d304f4f27d99f0c0b8e`
BLAKE2b-256	`5958e14bd0308add75366c027387b9d7f9ec7fbd1c5fb2d6227e07dfe9db8e2e`

Hashes for quantpiler-0.3.1-cp312-none-win_amd64.whl

Hashes for quantpiler-0.3.1-cp312-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`dfd3b26f67853a634e2f8d9abeb4403f44a0a7950d44ca46a496a7a5946d4151`
MD5	`a2b5ac2503808f6f200344c0697d2b8d`
BLAKE2b-256	`96150bf95fe8be711d84887695171fd49d2abd912cb6cf06c3ab74eecd292ca9`

Hashes for quantpiler-0.3.1-cp312-none-win32.whl

Hashes for quantpiler-0.3.1-cp312-none-win32.whl
Algorithm	Hash digest
SHA256	`1549eadb10fd3b901c5213eec3d66cc0c3bede2a07373c6567dee49cf9a2a7b8`
MD5	`d4ecbee37299a47b13d9cb61c5b50b5c`
BLAKE2b-256	`70029eb9fc4059beae956c79716432cb8801d6f2603edd370234814ea94d1f55`

Hashes for quantpiler-0.3.1-cp312-cp312-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-cp312-cp312-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`a85c002ae4e288cf333f4afc2b2c09f431e132fa60a6d19ddff11fac5c3be8ba`
MD5	`c2e8546b6f74199282915be0350bbdb5`
BLAKE2b-256	`1c0315fd21a4d4638ea26fde31654490fb7af0262ac8d8d871629b86a5cb38ef`

Hashes for quantpiler-0.3.1-cp311-none-win_amd64.whl

Hashes for quantpiler-0.3.1-cp311-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`6888bfba0996800b0ba535b4c6115c41904745011166340295d7c284f7ac73cc`
MD5	`332ea23cb5775e018843e27c74fa7faf`
BLAKE2b-256	`694dbc3aee3169d38431abe7280c633436fb7dcf8ec27682042d4589b7852360`

Hashes for quantpiler-0.3.1-cp311-none-win32.whl

Hashes for quantpiler-0.3.1-cp311-none-win32.whl
Algorithm	Hash digest
SHA256	`a14de6ff385bf7d6f421be229cd0528e02f20cc696c0805f88c2300efff5cd5f`
MD5	`30d15065b1b83d83661fa5bddab6467c`
BLAKE2b-256	`953fefd8206df2ce0554ff84176127c4d115ee0318a9d6e05aef3efd88c21f5a`

Hashes for quantpiler-0.3.1-cp311-cp311-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`73c7a62843fdb4864fa61ae2349dfd168ca1d745a758578420ef8f2305e25365`
MD5	`76defbd0f5556098d3b228d1356bc847`
BLAKE2b-256	`44f0456debceaad64acedc98085218af4195cdf89e7ea49dbfc2efa7099ae050`

Hashes for quantpiler-0.3.1-cp310-none-win_amd64.whl

Hashes for quantpiler-0.3.1-cp310-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`c6dc0b68d788d0a0244330290e1a01e63236c6eaf75d8bb0a321f26f1612b595`
MD5	`3c17e2f8af2891c94fa716b91f2fcbdb`
BLAKE2b-256	`e9499bb17170d901af635948aaffb4d11a6b8a77c29acb06ab2bed8a403a16d4`

Hashes for quantpiler-0.3.1-cp310-none-win32.whl

Hashes for quantpiler-0.3.1-cp310-none-win32.whl
Algorithm	Hash digest
SHA256	`b9efb334af113eb7da9ef3cfd8042d78e029157141c2e15568d4e97506d014a6`
MD5	`f6fa5c543212e629063e8348b5c49855`
BLAKE2b-256	`1403ad564196e15c9b752d33b6fc6fa3e074bb2de2834de774882a5f1e69cd4f`

Hashes for quantpiler-0.3.1-cp310-cp310-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`d5fd722d93215852cca1ceeac1cf54affa9656c06ca473b2e2362fc5a324a0d6`
MD5	`dcec4f328c72e1bb3139b1972807d830`
BLAKE2b-256	`60638ffc59e1dc323222e6cb0cdce3403489cc11d715a0510d57400f48c92b41`

Hashes for quantpiler-0.3.1-cp39-none-win_amd64.whl

Hashes for quantpiler-0.3.1-cp39-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`5cff1a19c0299d09243f9f56172d91a1989d9876405d0d2883cfc760a9b806f6`
MD5	`4485017ac9c2c65ba3aa2f378517bd06`
BLAKE2b-256	`d6d00df3b061194d3c51cbd865e31d297539567466c2cadafbba7ae7e4bfa436`

Hashes for quantpiler-0.3.1-cp39-none-win32.whl

Hashes for quantpiler-0.3.1-cp39-none-win32.whl
Algorithm	Hash digest
SHA256	`dfcbbbd53d18b16b137a6f8937fb5e233fd70f5e71155a319a0deb3e40a7861a`
MD5	`6bdb282741a4592cf266ef5fc1a96ab5`
BLAKE2b-256	`865a36f7fd378ec873d88aee1181c1818579090d8c11f9564c6844c41e07efcd`

Hashes for quantpiler-0.3.1-cp39-cp39-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`1e0b2316c5da0405077b96bf38934f442f4e3bb954751f30bb1deae6220af31e`
MD5	`6400be56d02db3f12a5b23505192051b`
BLAKE2b-256	`15e22ce31d460639e662aa09b74f8a088bb5b3e14a89cba71e5c108e5e8317c5`

Hashes for quantpiler-0.3.1-cp38-none-win_amd64.whl

Hashes for quantpiler-0.3.1-cp38-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`ff785a282f58d98b31279ef5633f85539ba6586e89bd3aad1fc70d2667893623`
MD5	`c82ab118d3aceee68c893f3d54146a37`
BLAKE2b-256	`fef351c73df2f15907149e33d89dc9907741710ea7abe573f6a44e30084f9488`

Hashes for quantpiler-0.3.1-cp38-none-win32.whl

Hashes for quantpiler-0.3.1-cp38-none-win32.whl
Algorithm	Hash digest
SHA256	`31a7e2f27e45704bda77b1a345f69779e55f69a9096335c5351dfde95465738d`
MD5	`1494809e9e5866c6cc62287c5716fa82`
BLAKE2b-256	`edb75ab1ce03603a7dc2666abfefb1df47b79bd2cee1c67df8d1820180f936e3`

Hashes for quantpiler-0.3.1-cp38-cp38-manylinux_2_28_x86_64.whl

Hashes for quantpiler-0.3.1-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`2ca9b11b50c520b0027a9bf50a5607bed7489217f90b8e1fc734dbcd50b80b6b`
MD5	`2736f9641a901ab7edae752db93a40c4`
BLAKE2b-256	`a95f8c735f64871f0b1c836db61769173fc69c35246819405499d385394c96c4`