Apparatus and method for synthesizing quantum controls
An example method for facilitating the generation of a control field for a quantum system is provided. The example method may include receiving quantum system experiment input parameters and generating a set of coefficients defining a plurality of controls. The plurality of controls may be provided as a weighted sum of basis functions that include discrete prolate spheroidal sequences. The example method may further include applying a gradient based optimization, synthesizing the plurality of controls, and configuring a waveform generator with the plurality of controls to enable the waveform generator to generate the control field.
1. An apparatus for generating a control field for a quantum system comprising:
digital processing circuitry; and
a waveform generator configured to generate the control field for the quantum system based on a plurality of controls determined by the digital processing circuitry;
wherein the digital processing circuitry is configured to:
receive quantum system experiment input parameters including a quantum processor model representing the quantum system;
generate, based on the quantum system experiment input parameters, a set of coefficients for basis functions as a functional basis expansion, wherein the basis functions comprise discrete prolate spheroidal sequences, wherein the set of coefficients for the basis functions are generated and optimized via application of a gradient ascent solver using an iterative approach for gradient ascent by determining a gradient of trace fidelity via application of a product rule on matrix products of the coefficients to iteratively modify the set of coefficients, based on update rules, across all times until convergence at a local maximum, and wherein generation of the set of coefficients for the basis functions has an optimization size of 2*N*M*W, where N is a number of piecewise constant control levels for the control field, M is a number of controls in the plurality of controls, and W is a bandwidth of a control pulse for the quantum system;
synthesize the plurality of controls based on the set of coefficients, wherein the digital processing circuitry is configured to synthesize each control within the plurality of controls to be a piecewise constant control that is a weighted sum of the basis functions with the set of coefficient applied to the basis functions; and
provide the plurality of controls to the waveform generator to generate the control field for the quantum system.
2. The apparatus of claim 1 , wherein the discrete prolate spheroidal sequences are Slepian sequences.
3. The apparatus of claim 1 , wherein the digital processing circuitry is configured to determine a set of discrete prolate spheroidal sequences based on a sequence length and control hardware bandwidth constraints.
4. The apparatus of claim 1 , wherein the gradient ascent solver comprises a limited memory Broyden-Flethcer-Goldfarb-Shannon (L-BFGS) algorithm.
5. The apparatus of claim 1 , wherein the digital processing circuitry is further configured to synthesize the plurality of controls within a limited bandwidth and above a minimum state change time to obtain threshold state accuracy.
6. An apparatus comprising:
digital processing circuitry; and
a waveform generator configured to generate a control field for a quantum system;
wherein the processing circuitry is configured to control the waveform generator to generate the control field by supplying a plurality of controls to the waveform generator;
wherein the plurality of controls have been synthesized based on a set of coefficients for basis functions as a functional basis expansion, the set of coefficients of the basis functions having been generated and optimized via application of a gradient ascent solver using an iterative approach for gradient ascent by determining a gradient of trace fidelity via application of a product rule on matrix products of the coefficients to iteratively modify the set of coefficients, based on update rules, across all times until convergence at a local maximum, wherein the basis functions comprise discrete prolate spheroidal sequences that operate as constraints on the plurality of controls, wherein a complexity of the gradient ascent solver is based on a bandwidth of a control field of the quantum system, wherein each control within the plurality of controls is synthesized to be a piecewise constant control that is a weighted sum of the basis functions with the set of coefficient applied to the basis functions, and wherein generation of the set of coefficients for the basis functions has an optimization size of 2*N*M*W, where N is a number of piecewise constant control levels for the control field, M is a number of controls in the plurality of controls, and W is a bandwidth of a control pulse for the quantum system.
7. The apparatus of claim 6 , wherein the waveform generator is configured to generate the control field to support implementation of a quantum gate within the quantum system.
8. A method comprising:
receiving quantum system experiment input parameters including a quantum processor model representing a quantum system;
generating, based on the quantum system experiment input parameters, a set of coefficients for basis functions as a functional basis expansion, wherein the basis functions comprise discrete prolate spheroidal sequences, wherein the set of coefficients of the basis functions are generated and optimized via application of a gradient ascent solver using an iterative approach for gradient ascent by determining a gradient of trace fidelity via application of a product rule on matrix products of the coefficients to iteratively modify the set of coefficients, based on update rules, across all times until convergence at a local maximum;
synthesizing a plurality of controls based on the set of coefficients, wherein each control within the plurality of controls is synthesized to be a piecewise constant control that is a weighted sum of the basis functions with the set of coefficient applied to the basis functions;
providing, to a waveform generator, the plurality of controls to generate a control field for the quantum system, wherein generation of the set of coefficients for the basis functions has an optimization size of 2*N*M*W, where N is a number of piecewise constant control levels for the control field, M is a number of controls in the plurality of controls, and W is a bandwidth of a control pulse for the quantum system; and
configuring the waveform generator with the plurality of controls to enable the waveform generator to generate the control field.
9. The method of claim 8 , wherein the discrete prolate spheroidal sequences are Slepian sequences.
10. The method of claim 8 , further comprising determining a set of discrete prolate spheroidal sequences based on a sequence length and control hardware bandwidth constraints.
11. The method of claim 8 , further comprising removing discrete prolate spheroidal sequences having non-zero initial and final points.
12. The method of claim 8 , wherein the gradient ascent solver comprises a limited memory Broyden-Flethcer-Goldfarb-Shannon (L-BFGS) algorithm.
13. The method of claim 8 , further comprising synthesizing the plurality of controls within a limited bandwidth and above a minimum state change time to obtain threshold state accuracy.