qmc: A python framework for Hamiltonian Quantum computation
qmc, named after the title of a foundational paper (pdf) in quantum computing, is a library for writing, manipulating, and optimizing Hamiltonian quantum computers.
Installation
The qmc package is available via pip and can be installed in your current Python environment with the command:
pip install qmc
Getting started
Hamiltonian quantum computers were first invented with the potential application of performing dissipasion-free computation. qmc allows one do perform such
resource estimations. Below is a circuit composed of NOT gates which shows that executing that circuit on a Hamiltonian quantum computer dissipates less energy than on a classical computer.
import cirq
from qmc.qmc import simulate
qubit = cirq.GridQubit(0, 0)
circuit = cirq.Circuit(
cirq.X(qubit),
cirq.X(qubit),
cirq.X(qubit),
cirq.X(qubit),
cirq.X(qubit),
)
result = simulate(circuit, 100)
print(result.output)
# prints
# m=1
print(result.quantum_energy_cost < result.classical_energy_cost)
# prints
# True
Feature requests / Bugs / Questions
If you have questions, feature requests or you found a bug, please file them on Github.
1 maintainer
Metadata
1 maintainer
Release files for qmc 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| qmc-0.0.1.tar.gz | 8.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qmc-0.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 16.7 kB
Release files / qmc-0.0.1.tar.gz
| Download URL | qmc-0.0.1.tar.gz |
|---|---|
| Size | 8.4 kB |
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Release files / qmc-0.0.1-py2.py3-none-any.whl
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|---|---|
| Size | 8.3 kB |
| Tags | Python 2 Python 3 |
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