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aglais-xqvm-quantum-vmaglais xqvm 量子 vm

Agent Skill

aglais-xqvm-quantum-vm 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,354

周安装

137

GitHub Stars

39

下载量

1,074
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aglais-xqvm-quantum-vm(aglais xqvm 量子 vm)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/aglais-xqvm-quantum-vm
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill aglais-xqvm-quantum-vm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aradotso/trending-skills --skill aglais-xqvm-quantum-vm

简介

Aglais XQVM 是一个面向量子退火器的硬件无关虚拟机,提供 QUBO/Ising 问题的统一中间表示。

  • 适用于量子计算优化问题开发与跨平台部署,支持 Rust 编写的二进制优化程序执行。
  • 包含字节码、汇编器、反汇编器和解释器四个核心组件,兼容 no_std + alloc 环境。
  • 使用前需确认 Rust 工具链已安装,并评估其在目标平台(如 WASM 或裸机)的部署可行性。
  • aglais-xqvm-quantum-vm 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Aglais XQVM Skill

Skill by ara.so — Daily 2026 Skills collection.

Aglais XQVM is a hardware-agnostic virtual machine for quantum computing written in Rust. It provides a unified bytecode intermediate representation for binary optimization problems (QUBO/Ising formulations) targeting quantum annealers — think LLVM for quantum computing. The VM is stack-based with a 256-slot register file, supports no_std + alloc for WASM/bare-metal deployment, and ships four crates: bytecode, assembler, disassembler, and interpreter.

Installation & Setup

Prerequisites

# Install Rust stable
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

# Install dev tools (cargo-nextest, clippy, etc.)
make deps

Build from source

git clone https://github.com/QuipNetwork/xq-rs
cd xq-rs
cargo build --release
# Binaries: target/release/xqasm, target/release/xqdism, target/release/xqvm

Add as a library dependency

# Cargo.toml
[dependencies]
aglais-xqvm-bytecode = { path = "crates/bytecode" }
aglais-xqvm-vm       = { path = "crates/vm" }

For no_std environments (WASM, bare-metal):

[dependencies]
aglais-xqvm-bytecode = { path = "crates/bytecode", default-features = false, features = ["alloc"] }

Workspace Crate Overview

CrateBinaryRole
aglais-xqvm-bytecodeOpcode table, instruction types, builder, binary codec, stream reader
aglais-xqvm-asmxqasmText assembler: .xqasm.xqbc bytecode
aglais-xqvm-disasmxqdismBytecode → human-readable listing
aglais-xqvm-vmxqvmBytecode interpreter: stack, registers, QUBO/Ising execution

CLI Commands

xqasm — Assembler

# Assemble a source file to bytecode
xqasm program.xqasm -o program.xqbc

# Assemble with verbose output
xqasm program.xqasm -o program.xqbc --verbose

xqdism — Disassembler

# Inspect bytecode encoding as human-readable listing
xqdism program.xqbc

# Pipe to file
xqdism program.xqbc > listing.txt

xqvm — Interpreter

# Execute bytecode
xqvm program.xqbc

# Run with debug output (if supported)
xqvm program.xqbc --debug

Full pipeline

xqasm problem.xqasm -o problem.xqbc && xqdism problem.xqbc && xqvm problem.xqbc

XQASM Language Reference

The assembler accepts .xqasm text files. The VM is stack-based; most instructions pop operands from the stack and push results.

Basic stack operations

; push two integers and add them
PUSH 10
PUSH 32
ADD
HALT

Registers (0–255)

PUSH 42
STORE 0        ; pop stack → register 0
LOAD  0        ; push register 0 → stack

Arithmetic

PUSH 10
PUSH 3
ADD            ; stack: [13]
PUSH 7
SUB            ; stack: [6]
PUSH 2
MUL            ; stack: [12]
PUSH 4
DIV            ; stack: [3]

Vectors / integer arrays

; build a 3-element vector [1, 2, 3]
PUSH 1
PUSH 2
PUSH 3
PUSH 3         ; length
VEC            ; stack: [Vec([1,2,3])]
STORE 1

QUBO / Ising model construction

; XQMX_NEW n creates an n-variable QUBO model
PUSH 4
XQMX_NEW       ; stack: [XqmxModel(4 vars)]
STORE 2

; set quadratic coupling Q[i][j] = weight
LOAD  2
PUSH  0        ; i
PUSH  1        ; j
PUSH  -1       ; weight (integer encoding)
XQMX_SET_Q    ; modifies model in reg 2

; set linear bias h[i] = weight
LOAD  2
PUSH  0
PUSH  5
XQMX_SET_H

; evaluate energy of a candidate solution
LOAD  2        ; model
PUSH  0        ; sample register (XqmxSample)
XQMX_EVAL     ; pushes energy onto stack

Control flow & iteration

; RANGE lo hi → loop stack entry, ITER steps through it
PUSH 0
PUSH 5
RANGE          ; loop i in 0..5
ITER           ; advance; jumps past matching END_ITER when done
  LOAD 0
  PUSH 1
  ADD
  STORE 0
END_ITER

HALT

Labels and jumps

  PUSH 0
loop:
  PUSH 1
  ADD
  DUP
  PUSH 10
  LT
  JMP_TRUE loop
HALT

Rust API: Bytecode Builder

Use aglais-xqvm-bytecode to construct programs programmatically:

use aglais_xqvm_bytecode::{BytecodeBuilder, Instruction, Opcode};

fn build_add_program() -> Vec<u8> {
    let mut builder = BytecodeBuilder::new();

    builder.emit(Instruction::Push(10));
    builder.emit(Instruction::Push(32));
    builder.emit(Instruction::Add);
    builder.emit(Instruction::Halt);

    builder.finish()
}

Decoding bytecode (stream reader)

use aglais_xqvm_bytecode::StreamReader;

fn decode(bytes: &[u8]) {
    let mut reader = StreamReader::new(bytes);
    while let Some(instr) = reader.next_instruction().unwrap() {
        println!("{:?}", instr);
    }
}

Rust API: Running the VM

use aglais_xqvm_vm::Vm;

fn main() {
    // Load bytecode from a file
    let bytecode = std::fs::read("program.xqbc").expect("read bytecode");

    let mut vm = Vm::new();
    vm.load(&bytecode).expect("load");
    vm.run().expect("run");

    // Inspect top of stack after execution
    if let Some(val) = vm.stack_top() {
        println!("Result: {:?}", val);
    }
}

Accessing registers after execution

use aglais_xqvm_vm::{Vm, Value};

fn run_and_inspect(bytecode: &[u8]) -> Value {
    let mut vm = Vm::new();
    vm.load(bytecode).unwrap();
    vm.run().unwrap();
    vm.register(0).cloned().unwrap_or(Value::Int(0))
}

Real-World Pattern: TSP as QUBO

The crates/vm/examples/tsp/ directory contains a complete Travelling Salesman Problem encoded as a QUBO driven by a Rust harness. The pattern is:

  1. Generate coefficients in a Rust harness (problem-specific math).
  2. Emit .xqasm files parameterised by those coefficients.
  3. Assemble + run with xqasm / xqvm.
// crates/vm/examples/tsp/main.rs pattern
use std::process::Command;

fn assemble_and_run(src: &str, out: &str) {
    let asm = Command::new("xqasm")
        .args([src, "-o", out])
        .status()
        .expect("xqasm failed");
    assert!(asm.success());

    let run = Command::new("xqvm")
        .arg(out)
        .status()
        .expect("xqvm failed");
    assert!(run.success());
}

fn main() {
    assemble_and_run("init.xqasm",    "init.xqbc");
    assemble_and_run("problem.xqasm", "problem.xqbc");
    assemble_and_run("eval.xqasm",    "eval.xqbc");
}

Common Patterns

Pattern: build a QUBO model in assembly

; 2-variable QUBO: minimise x0 - x1 + 2*x0*x1
PUSH 2
XQMX_NEW
STORE 0

LOAD 0
PUSH 0
PUSH -1        ; h[0] = -1  (linear)
XQMX_SET_H

LOAD 0
PUSH 1
PUSH -1        ; h[1] = -1  (linear)
XQMX_SET_H

LOAD 0
PUSH 0
PUSH 1
PUSH 2         ; Q[0][1] = 2 (quadratic)
XQMX_SET_Q

HALT

Pattern: iterate over model variables

PUSH 4
XQMX_NEW
STORE 0

PUSH 0
PUSH 4
RANGE
ITER
  ; register 1 holds current loop index after ITER
  LOAD  0
  LOAD  1      ; index i
  LOAD  1      ; index i (diagonal → linear term)
  PUSH  -1
  XQMX_SET_Q
END_ITER

HALT

Pattern: no_std bytecode decoding (WASM)

#![no_std]
extern crate alloc;

use alloc::vec::Vec;
use aglais_xqvm_bytecode::StreamReader;

pub fn decode_instructions(bytes: &[u8]) -> Vec<alloc::string::String> {
    let mut reader = StreamReader::new(bytes);
    let mut out = Vec::new();
    while let Ok(Some(instr)) = reader.next_instruction() {
        out.push(alloc::format!("{:?}", instr));
    }
    out
}

Development Workflow

# Run all lints and tests (mirrors CI)
make all

# Run only tests
cargo test --workspace

# Run lints
cargo clippy --workspace --all-targets -- -D warnings

# Format
cargo fmt --all

# Run a specific example
cargo run --example tsp --manifest-path crates/vm/Cargo.toml

Instruction Set Quick Reference

The opcode table in crates/bytecode/src/types/table.rs is the single source of truth for all 76 instructions. Key categories:

CategoryInstructions
StackPUSH, POP, DUP, SWAP
RegistersLOAD, STORE
ArithmeticADD, SUB, MUL, DIV, NEG
ComparisonEQ, LT, GT, LE, GE
Control flowJMP, JMP_TRUE, JMP_FALSE, CALL, RET, HALT
IterationRANGE, ITER, END_ITER
VectorsVEC, VEC_GET, VEC_SET, VEC_LEN
QUBO/IsingXQMX_NEW, XQMX_SET_Q, XQMX_SET_H, XQMX_EVAL, XQMX_SAMPLE

All operands are big-endian. The binary format is a bare instruction stream with no file header.

Troubleshooting

xqasm: command not found

Ensure target/release is on $PATH or use the full path:

export PATH="$PWD/target/release:$PATH"

Stack underflow at runtime

The VM is strictly stack-based. Every instruction that pops values requires them to be present. Check that PUSH / LOAD precedes every operation, and that loops don't consume values without restoring the stack balance.

ITER never terminates

RANGE pushes loop bounds onto the loop stack (separate from the value stack). Ensure every RANGE has a matching END_ITER and that the range bounds (lo, hi) are pushed in the correct order (lo first, hi second).

Build fails in no_std environment

Disable default features and enable the alloc feature on aglais-xqvm-bytecode:

aglais-xqvm-bytecode = { ..., default-features = false, features = ["alloc"] }

The VM crate (aglais-xqvm-vm) requires std and is not suitable for bare-metal.

Inspecting unexpected bytecode

Use xqdism to verify the assembler output before running:

xqasm suspect.xqasm -o suspect.xqbc
xqdism suspect.xqbc   # check instruction sequence and operand values
xqvm   suspect.xqbc

License

AGPL-3.0-or-later. Embedding in proprietary network services requires source disclosure under the AGPL.

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.79%
按下载量换算374

Claude

29.97%
按下载量换算322

Cursor

20.1%
按下载量换算216

Gemini CLI

8.93%
按下载量换算96

安全审计

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可疑

权限和风险

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安装前确认

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