Description:
qcsys 0.1.1
qcsys
S. R. Jha, S. Chowdhury, M. Hays, J. A. Grover, W. D. Oliver
Docs: https://equs.github.io/qcsys
Built on JAX, qcsys presents a scalable way to assemble and simulate systems of quantum circuits.
Installation
qcsys is published on PyPI. Simply run the following code to install the package:
pip install qcsys
For more details, please visit the getting started > installation section of our docs.
An Example
Here's an example on how to use qcsys:
import qcsys as qs
# Devices ----
_, Ec_a, El_a = qs.calculate_lambda_over_four_resonator_zpf(3, 50)
resonator = qs.Resonator.create(
10,
{"Ec": Ec_a, "El": El_a},
N_pre_diag=10,
)
Ec_q = 1
El_q = 0.5
Ej_q = 8
qubit = qs.Fluxonium.create(
25,
{"Ec": Ec_q, "El": El_q, "Ej": Ej_q, "phi_ext": 0.47},
use_linear=False,
N_pre_diag=100,
)
# System ----
g_rq = 0.3
devices = [resonator, qubit]
r_indx = 0
q_indx = 1
Ns = [device.N for device in devices]
a0 = qs.promote(resonator.ops["a"], r_indx, Ns)
a0_dag = qs.promote(resonator.ops["a_dag"], r_indx, Ns)
q0 = qs.promote(qubit.ops["a"], q_indx, Ns)
q0_dag = qs.promote(qubit.ops["a_dag"], q_indx, Ns)
couplings = []
couplings.append(-g_rq * (a0 - a0_dag) @ (q0 - q0_dag))
system = qs.System.create(devices, couplings=couplings)
system.params["g_rq"] = g_rq
Es, kets = system.calculate_eig()
# chi ----
χ_e = Es[1:, 1] - Es[:-1, 1]
χ_g = Es[1:, 0] - Es[:-1, 0]
χ = χ_e - χ_g
# kerr ----
# kerr[0,n] = (E(n+2, g) - E(n+1, g)) - (E(n+1, g) - E(n, g))
# kerr[1,n] = (E(n+2, e) - E(n+1, e)) - (E(n+1, e) - E(n, e))
K_g = (Es[2:, 0] - Es[1:-1, 0]) - (Es[1:-1, 0] - Es[0:-2, 0])
K_e = (Es[2:, 1] - Es[1:-1, 1]) - (Es[1:-1, 1] - Es[0:-2, 1])
χ, K_g, K_e
Acknowledgements & History
Core Devs: Shantanu A. Jha, Shoumik Chowdhury
This package was initially developed in early 2023 to aid in the design of a superconducting circuit device made for bosonic quantum error correction. This package was also briefly announced to the world at APS March Meeting 2023. Since then, this package has been open sourced and developed while conducting research in the Engineering Quantum Systems Group at MIT with invaluable advice from Prof. William D. Oliver.
Citation
Thank you for taking the time to try our package out. If you found it useful in your research, please cite us as follows:
@software{jha2024jaxquantum,
author = {Shantanu R. Jha and Shoumik Chowdhury and Max Hays and Jeff A. Grover and William D. Oliver},
title = {An auto differentiable and hardware accelerated software toolkit for quantum circuit design, simulation and control},
url = {https://github.com/EQuS/jaxquantum, https://github.com/EQuS/bosonic, https://github.com/EQuS/qcsys},
version = {0.1.0},
year = {2024},
}
S. R. Jha, S. Chowdhury, M. Hays, J. A. Grover, W. D. Oliver. An auto differentiable and hardware accelerated software toolkit for quantum circuit design, simulation and control (2024), in preparation.
Contributions & Contact
This package is open source and, as such, very open to contributions. Please don't hesitate to open an issue, report a bug, request a feature, or create a pull request. We are also open to deeper collaborations to create a tool that is more useful for everyone. If a discussion would be helpful, please email shanjha@mit.edu to set up a meeting.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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