Skip to main content

qiskit-qrack-provider

This repository contains a Qrack provider for Qiskit. You must install PyQrack to use it.

Performance can benefit greatly from following the Qrack repository "Quick Start" and "Power user considerations."

Qrack is a GPU-accelerated simulator with optional pure-CPU and CPU/GPU-hybrid simulation, scaling from minimalist systems to multiple GPUs for high performance, with novel near-Clifford, Schmidt-decomposition, quantum binary decision diagram (QBDD), light-cone optimization, state vector, and other simulation techniques. This repository provides the Qrack QasmSimulator.

This provider is based on and adapted from work by the IBM Qiskit Team and QCGPU's creator, Adam Kelly. Attribution is noted in content files, where appropriate. Original contributions and adaptations were made by Daniel Strano of the VM6502Q/Qrack Team.

To use, in Qiskit:

from qiskit.providers.qrack import Qrack

backend = Qrack.get_backend('qasm_simulator')

For example, for use with unitaryfund/mitiq, creating a (noiseless) executor can be as simple as follows:

from qiskit.providers.qrack import Qrack

def executor(circuit, shots=1000):
    """Executes the input circuit and returns the noisy expectation value <A>, where A=|0><0|.
    """
    # Use the Qrack QasmSimulator backend, (but it's specifically noiseless)
    ideal_backend = Qrack.get_backend('qasm_simulator')

    # Append measurements
    circuit_to_run = circuit.copy()
    circuit_to_run.measure_all()

    # Run and get counts
    print(f"Executing circuit with {len(circuit)} gates using {shots} shots.")
    job = ideal_backend.run(circuit_to_run, shots=shots)
    counts = job.result().get_counts()

    # Compute expectation value of the observable A=|0><0|
    return counts["0"] / shots

Generally, you will need to adapt the above executor snippet to your particular purpose.

(Happy Qracking! You rock!)


License: Apache License Version 2.0, Copyright (c) Daniel Strano and the Qrack contributors 2017-2024. All rights reserved.

Release files for qiskit-qrack-provider 1.11.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qiskit-qrack-provider 1.11.0
File Size Uploaded
qiskit_qrack_provider-1.11.0.tar.gz 23.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for qiskit-qrack-provider 1.11.0
File Interpreter ABI Platform
qiskit_qrack_provider-1.11.0-py3-none-any.whl Python 3 none any Details

Total release size: 56.2 kB

Release files / qiskit_qrack_provider-1.11.0.tar.gz

Download URL qiskit_qrack_provider-1.11.0.tar.gz
Size 23.6 kB
Tags Source
SHA-256 checksum
How to use checksums
6c6c8d49c2ef8c68aa1c7cd41cf775d2467baf8c3ee063aead1d2ccf77458c0a
BLAKE2b-256 checksum
How to use checksums
06d8d764478582e3e34e6e99766aa17d7ec69686f428f883d150a1dab29a10e7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release files / qiskit_qrack_provider-1.11.0-py3-none-any.whl

Download URL qiskit_qrack_provider-1.11.0-py3-none-any.whl
Size 32.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1783278b89dbc47180ceab28d5d047f67081ae211add6a1f269be171db0472cb
BLAKE2b-256 checksum
How to use checksums
df1103a58cbaa0504799da330f3c66cf87063268bcd4a1099298721086c832fd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.14.4

Release history Release notifications | RSS feed

1.19.2

2 release files

1.19.1

2 release files

1.19.0

2 release files

1.18.0

2 release files

1.17.0

2 release files

1.16.0

2 release files

1.15.0

2 release files

1.12.0

2 release files

This release

1.11.0 This release

2 release files

1.10.0

2 release files

1.9.0

2 release files

1.8.1

2 release files

1.8.0

2 release files

1.7.0

2 release files

1.6.0

2 release files

1.5.0

2 release files

1.4.0

2 release files

1.3.2

2 release files

1.3.1

2 release files

1.3.0

2 release files

1.2.1

1 release file

1.2.0

2 release files

1.1.0

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.17.1

2 release files

0.17.0

2 release files

0.16.0

2 release files

0.13.0

1 release file

0.12.5

2 release files

0.12.4

2 release files

0.12.3

2 release files

0.12.2

2 release files

0.12.1

2 release files

0.11.0

2 release files

0.10.0

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.1

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.0

2 release files

0.5.2

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.10

2 release files

0.4.9

2 release files

0.4.8

2 release files

0.4.7

2 release files

0.4.6

2 release files

0.4.5

2 release files

0.4.4

2 release files

0.4.3

2 release files

0.4.2

2 release files

0.4.1

2 release files

0.4.0

2 release files

0.3.2

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page