Pulse-Based Variational Quantum Circuit Optimization
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Solution Overview
Problem
Existing variational quantum circuits face limitations in flexibility and expressability due to a limited number of parameters, and current methods for optimizing quantum circuit ansatzes lack specific details and hardware implementation, hindering efficient use of quantum resources for tasks like chemical molecule calculations.
Innovation Solution
A resource-efficient pulse-based variational quantum circuit method that controls and evaluates multiple quantum circuits, selects the best performing one, generates a tailored pulse sequence, and determines a simplified pulse schedule to optimize quantum operations, leveraging hybrid digital/quantum computing loops and optimizing pulse parameters for improved coherence time usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional quantum gates are used with limited parameters, then the circuit structure is simple, but the flexibility and expressability of the quantum circuit are limited
Solution Approach 1:
The patent transforms fixed quantum gates into parametric pulses, allowing continuous adjustment of pulse parameters (duration, amplitude, frequency, phase) to achieve flexible quantum circuit optimization without increasing structural complexity
Solution Approach 2:
The patent introduces dynamic pulse scheduling where pulse parameters can be adjusted in real-time during quantum circuit execution, enabling adaptive optimization of quantum operations based on coherence time and hardware characteristics
2Measurement precision
If complex pulse sequences are generated for optimal performance, then the quantum state preparation accuracy improves, but the coherence time is exceeded and resources are wasted
Solution Approach 1:
The patent applies partial action by generating pulse sequences that use only the necessary portion of available coherence time, avoiding excessive pulse durations that would cause decoherence while still achieving sufficient quantum state preparation accuracy
Solution Approach 2:
The patent implements feedback mechanisms where pulse parameters are continuously adjusted based on measured quantum state fidelity and remaining coherence time, optimizing the balance between preparation accuracy and time constraints
3Measurement precision
If more quantum circuits are evaluated to find the best ansatz, then the optimization accuracy improves, but the computational resources and time consumption increase
Solution Approach 1:
The patent performs preliminary evaluation of candidate quantum circuits using simplified metrics before full optimization, filtering out poor-performing circuits early to reduce computational resources needed for final optimization
Solution Approach 2:
The patent uses classical simulations and surrogate models to estimate quantum circuit performance, allowing efficient screening of multiple circuit candidates without requiring extensive quantum hardware resources
Data Source
AI summary
A method, computer system, and a computer program product for a resource-efficient pulse-based variational quantum circuit running on a selected quantum hardware to solve a given predefined problem. The present invention may include controlling an execution of a plurality of different quant controlling an execution of a plurality of different quantum circuits using the selected quantum hardware for the given predefined problem to be solved, evaluating a performance of each of the plurality of different quantum circuits, selecting a best performing one of the plurality of quantum circuits, generating a pulse sequence having a pulse schedule tailored to the selected quantum hardware and the given problem for the best performing one of the plurality of the different quantum circuits, and determining a simplified pulse schedule of the pulse sequence, thereby producing an efficient pulse-based schedule that acts as a pulse-based variational form for the best performing quantum circuit.