riscv-quantum-control-processor

name	riscv-quantum-control-processor
category	quantum-systems
description	RISC-V vector extension architecture for scalable quantum control processors (QCP) with 128-qubit single-instruction addressing, halt-resume mid-circuit measurement protocol, and parameterized rotation support.
trigger_words	quantum control processor, QCP, RISC-V quantum, vectorized quantum control, mid-circuit measurement, halt-resume protocol, quantum control electronics, qubit addressing, scalable quantum control
created	2026-07-09T00:00:00.000Z
source	arXiv 2607.07372

RISC-V Quantum Control Processor

Paper Summary

Title: Vectorizing Quantum Control: A RISC-V Vector Extension Architecture for Scalable Qubit Systems

arXiv: 2607.07372

Core Problem: Existing quantum control processors (QCPs) rely on customized instruction sets, limiting design reuse and requiring significant toolchain effort. Efficient qubit addressing and scheduling at scale is a critical challenge.

Key Innovations

1. RISC-V Vector (RVV) Quantum Extension

• Leverages RVV's high parallelism to address up to 128 qubits in a single instruction
• Quantum-oriented instruction set extension on standard RISC-V architecture
• Enables design reuse and existing toolchain compatibility

2. Parameterized Rotation Embedding

• Rotation parameters embedded directly into instruction set
• Enables dynamic tuning of gate rotations in hybrid quantum-classical programs
• Supports variational algorithms without recompilation

3. Hardware Halt-Resume Protocol

• Designed for mid-circuit measurements (feedforward)
• Resumes pipeline execution within 80 ns of receiving measurement result
• Low-latency critical for real-time quantum error correction

Performance Results

• 2.52x speedup over baseline in program execution time
• Evaluated with RISC-V toolchains and FPGA prototypes
• Excellent scalability demonstrated

Systems Engineering Patterns

Pattern: Instruction Set Extension for Domain-Specific Control

When building control processors for specialized hardware:

1. Start from an extensible ISA (RISC-V) rather than custom
2. Add domain-specific instructions as vector extensions
3. Leverage existing compiler toolchains

Pattern: Halt-Resume for Real-Time Feedback

For systems requiring fast feedback loops:

1. Hardware-level protocol (not software interrupt)
2. Pipeline state preservation on halt
3. Sub-100ns resume latency target

Pattern: Parameterization at Instruction Level

For hybrid classical-quantum optimization:

1. Embed tunable parameters in instructions
2. Avoid recompilation for parameter sweeps
3. Support VQE/QAOA-style workflows natively

Application Scenarios

• Large-scale quantum computer control stacks
• Hybrid quantum-classical variational algorithm execution
• Real-time quantum error correction with feedforward
• Multi-qubit calibration and characterization

Related Skills

• quantum-control-engineering
• quantum-systems-engineering
• fpga-quantum-decoding