oqpy 0.2.0

Generating OpenQASM 3 + OpenPulse in Python

OQpy: Generating OpenQASM 3 + OpenPulse in Python

The goal of oqpy ("ock-pie") is to make it easy to generate OpenQASM 3 + OpenPulse in Python. The oqpy library builds off of the openqasm3 and openpulse packages, which serve as Python reference implementations of the abstract syntax tree (AST) for the OpenQASM 3 and OpenPulse grammars.

What are OpenQASM 3 and OpenPulse?

OpenQASM is an imperative programming language designed for near-term quantum computing algorithms and applications. OpenQASM 3 extends the original specification by adding support for classical logic, explicit timing, and pulse-level definitions. The latter is enabled via the use of calibration grammars which allow quantum hardware builders to extend the language to support hardware-specific directives via cal and defcal blocks. One such grammar is OpenPulse, which provides the instructions required for pulse-based control of many common quantum computing architectures (e.g. superconducting qubits).

Installation and Getting Started

OQpy can be installed from PyPI or from source in an environment with Python 3.7 or greater.

To install it from PyPI (via pip), do the following:

pip install oqpy

To instead install OQpy from source, do the following from within the repository after cloning it:

poetry install

Next, check out the following example to get a sense of the kinds of programs we can write with OQpy.

Example: Ramsey Interferometry

A common and useful experiment for qubit characterization is Ramsey interferometry, which can be used for two purposes: performing a careful measurement of a qubit’s resonant frequency, and for investigating how long a qubit retains its coherence. In a typical Ramsey experiment, one varies the length of a delay between the two π/2 pulses, and then measures the state of the qubit. Below, we'll create a Ramsey interferometry experiment in OpenQASM 3 using OQpy. As part of this, we’ll use the OpenPulse grammar to allow this experiment to specify its operation implementations at the calibrated pulse level.

import oqpy
prog = oqpy.Program()  # create a new oqpy program

# Declare frames: transmon driving frame and readout receive/transmit frames
xy_frame = oqpy.FrameVar(oqpy.PortVar("dac0"), 6.431e9, name="xy_frame")
rx_frame = oqpy.FrameVar(oqpy.PortVar("adc0"), 5.752e9, name="rx_frame")
tx_frame = oqpy.FrameVar(oqpy.PortVar("dac1"), 5.752e9, name="tx_frame")

# Declare the type of waveform we are working with
constant_waveform = oqpy.declare_waveform_generator(
    "constant",
    [("length", oqpy.duration),
     ("amplitude", oqpy.float64)],
)
gaussian_waveform = oqpy.declare_waveform_generator(
    "gaussian",
    [("length", oqpy.duration),
     ("sigma", oqpy.duration),
     ("amplitude", oqpy.float64)],
)

# Provide gate / operation definitions as defcals
qubit = oqpy.PhysicalQubits[1]  # get physical qubit 1

with oqpy.defcal(prog, qubit, "reset"):
    prog.delay(1e-3)  # reset to ground state by waiting 1 ms

with oqpy.defcal(prog, qubit, "measure"):
    prog.play(tx_frame, constant_waveform(2.4e-6, 0.2))
    prog.capture(rx_frame, constant_waveform(2.4e-6, 1))

with oqpy.defcal(prog, qubit, "x90"):
    prog.play(xy_frame, gaussian_waveform(32e-9, 8e-9, 0.2063))

# Loop over shots (i.e. repetitions)
delay_time = oqpy.DurationVar(0, "delay_time")  # initialize a duration
with oqpy.ForIn(prog, range(100), "shot_index"):
    prog.set(delay_time, 0)                     # reset delay time to zero
    # Loop over delays
    with oqpy.ForIn(prog, range(101), "delay_index"):
        (prog.reset(qubit)                      # prepare in ground state
         .gate(qubit, "x90")                    # pi/2 pulse (90° rotation about the x-axis)
         .delay(delay_time, qubit)              # variable delay
         .gate(qubit, "x90")                    # pi/2 pulse (90° rotation about the x-axis)
         .measure(qubit)                        # final measurement
         .increment(delay_time, 100e-9))        # increase delay by 100 ns

Running print(prog.to_qasm(encal_declarations=True)) generates the following OpenQASM:

OPENQASM 3.0;
defcalgrammar "openpulse";
cal {
    extern constant(duration, float[64]) -> waveform;
    extern gaussian(duration, duration, float[64]) -> waveform;
    port dac1;
    port adc0;
    port dac0;
    frame tx_frame = newframe(dac1, 5752000000.0, 0);
    frame rx_frame = newframe(adc0, 5752000000.0, 0);
    frame xy_frame = newframe(dac0, 6431000000.0, 0);
}
duration delay_time = 0.0ns;
defcal reset $1 {
    delay[1000000.0ns];
}
defcal measure $1 {
    play(tx_frame, constant(2400.0ns, 0.2));
    capture(rx_frame, constant(2400.0ns, 1));
}
defcal x90 $1 {
    play(xy_frame, gaussian(32.0ns, 8.0ns, 0.2063));
}
for int shot_index in [0:99] {
    delay_time = 0.0ns;
    for int delay_index in [0:100] {
        reset $1;
        x90 $1;
        delay[delay_time] $1;
        x90 $1;
        measure $1;
        delay_time += 100.0ns;
    }
}

Contributing

We welcome contributions to OQpy including bug fixes, feature requests, etc. To get started, check out our contributing guidelines.

Citation

If you use OQpy in your work or research, please cite it using the metadata in the CITATION.cff file in the repository (which includes a Zenodo DOI). You can copy the citation in BibTeX format using the "Cite this repository" widget in the About section of the repository page on GitHub.