Quantum Control Architecture for Real-Time Pauli Twirling
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Solution Overview
Problem
Existing quantum control systems face challenges in efficiently generating and executing Pauli twirled circuits, especially in the presence of control flow, due to high computational expense, recompilation, reloading, and synchronization issues.
Innovation Solution
A quantum control system architecture that dynamically generates Pauli twirled circuits in hardware within an executing quantum program, using a pseudorandom number generator (PRNG) seeded from a control message, allowing for real-time application of Clifford operations and phase updates without reloading the circuit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If Pauli twirling is implemented by dynamically generating and applying Clifford operations in hardware during quantum program execution, then quantum circuit error mitigation is improved, but device complexity increases due to the need for real-time random number generation and operation selection
Solution Approach 1:
The system pre-computes and stores phase update values in lookup tables during initialization, so that during execution only table lookups and simple phase applications are needed, avoiding complex real-time computations
Solution Approach 2:
A classical control system acts as an intermediary between the quantum hardware and the user, managing the PRNG, lookup tables, and phase update calculations, thereby simplifying the quantum hardware architecture
2Reliability
If complete parameters for Pauli twirling are communicated to each qubit controller, then Pauli twirling can be implemented accurately, but messaging overhead increases significantly
Solution Approach 1:
The system extracts only the essential information (single seed value) needed for Pauli twirling and transmits it to qubit controllers, deriving all other necessary parameters (Clifford operations, phase updates) locally through deterministic PRNG and lookup tables
Solution Approach 2:
The system changes the parameter representation from complete Pauli twirling parameters to a single seed value, reducing communication complexity while maintaining functionality through local parameter derivation
3Adaptability or versatility
If Pauli twirling is performed with control flow and dynamic circuit execution, then adaptability is improved, but synchronization between qubits becomes more difficult
Solution Approach 1:
The system uses feedback from the control flow execution to dynamically update the PRNG seed and phase values, ensuring that all qubits receive coordinated updates that maintain synchronization despite control flow variations
Solution Approach 2:
The qubit controllers are designed to handle multiple operations (Pauli twirling, phase updates, control flow) using a unified architecture that processes all operations through the same PRNG-based randomization mechanism, maintaining synchronization across diverse operations
Data Source
AI summary
Systems, computer program products and/or computer-implemented methods described herein relate to a quantum control system architecture for real-time Pauli twirling of quantum programs. A system can include a memory that stores computer executable components and a processor that executes the computer executable components, which can include an initialization component that determines a seed to be applied to a first pseudorandom number generator (PRNG) associated with a first qubit of an input quantum circuit, the seed being shared with one or more second PRNGs associated with respective second qubits of the input quantum circuit that share a frame with the first qubit; and a Pauli twirling component that applies selected Clifford operations to the first qubit before and after execution of respective layers of the input quantum circuit, where the selected Clifford operations are selected according to an output of the first PRNG that is produced based on the seed.