Hybrid Quantum Event Scheduling Control System
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Solution Overview
Problem
Existing quantum computing systems face challenges in efficiently scheduling control signals to execute quantum programs, particularly in maintaining coherence times and optimizing computational accuracy.
Innovation Solution
A control system that schedules events, such as control signals, in a quantum computing system using a programmable control processor. This system generates an event schedule that includes resource schedules for qubits and other resources, optimizing signal delivery and computational operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If control signals are scheduled sequentially in quantum computing systems, then quantum process fidelity is maintained, but computational time increases
Solution Approach 1:
The patent applies preliminary action by pre-scheduling control signals and quantum operations in an optimized sequence before execution. The control system prepares and validates the entire schedule of control signals and quantum gate operations in advance, allowing parallel execution of compatible operations while maintaining quantum coherence requirements. This reduces computational time by eliminating runtime delays while preserving quantum process fidelity through pre-validated scheduling.
2Productivity
If multiple control signals are executed in parallel, then computational time is reduced, but scheduling complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the control signal scheduling into distinct modules: a quantum instruction set compiler that translates high-level quantum programs into native instructions, an event scheduler that sequences control signals, and a control system that executes them. This modular segmentation allows parallel execution of independent control signals while managing complexity through structured, hierarchical organization of scheduling functions.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting timing parameters and synchronization settings of control signals based on quantum coherence requirements. The system modifies signal delivery parameters such as timing offsets, pulse durations, and synchronization delays to enable parallel execution while maintaining quantum process fidelity. This allows flexible optimization of computational speed without compromising quantum operations.
3Loss of time
If control signals are optimized for speed, then computational time decreases, but quantum coherence is compromised
Solution Approach 1:
The patent applies feedback by implementing a control system that monitors quantum coherence status and adjusts control signal timing accordingly. The system uses feedback from quantum state measurements and coherence monitoring to dynamically optimize signal delivery schedules, ensuring that speed optimizations do not compromise quantum coherence. This closed-loop control enables fast signal delivery while maintaining quantum stability through real-time adjustments.
Data Source
AI summary
In a general aspect, hybrid computing systems and hybrid computing methods are described. In some cases, a program to be executed in a hybrid computing system is identified. The hybrid computing system includes a control system that includes a classical processor. The hybrid computing system includes a quantum processor that defines qubits. By operation of the control system, a set of events to execute the program is identified. By operation of the control system, an event schedule that includes resource schedules for the respective qubits is generated. The event schedule is executed in the hybrid computing system. The event schedule, when executed in the hybrid computing system, coordinates operation of the quantum processor and the classical processor.