rqm-braket 0.1.2

Amazon Braket backend adapter for the RQM ecosystem.

rqm-braket

Amazon Braket backend for the Resonant Quantum Mechanics (RQM) ecosystem.

rqm-braket executes compiled RQM programs on:

• the Amazon Braket Local Simulator
• AWS Braket quantum devices

This package is a backend adapter, not a compiler and not a math engine.

---

Architecture Overview

The RQM software stack is intentionally layered:

              rqm-docs
                  |
  -----------------------------------
  |               |                |
rqm-core      rqm-compiler     rqm-notebooks
                  |
        ----------------------
        |                    |
    rqm-qiskit          rqm-braket

Layer responsibilities

Layer	Responsibility
rqm-core	Canonical math (quaternion, spinor, Bloch, SU(2))
rqm-compiler	Compile RQM objects into backend-agnostic instructions
rqm-braket	Execute compiled programs on Amazon Braket
rqm-qiskit	Execute compiled programs on Qiskit
rqm-notebooks	Examples, demos, tutorials

---

What This Package Does

rqm-braket provides three core capabilities:

---

1. Translation

Convert compiled programs into Braket Circuit objects.

compiled_program → Braket Circuit

Handled by:

BraketTranslator
compile_to_braket_circuit(...)

---

2. Execution

Run circuits on:

• Local simulator (offline-safe)
• AWS Braket devices

Circuit → execution → result

Handled by:

run_local(...)
run_device(...)
BraketBackend

---

3. Result Wrapping

Normalize Braket outputs into a simple interface:

result.counts
result.probabilities
result.shots
result.most_likely_bitstring()

---

4. Convenience Bridges (rqm-core delegation)

rqm-braket exposes thin bridge functions for users who want to prepare quantum states without going through the compiler first.

These bridges are not the primary API.
For production use, prefer the compiler-first path.

rqm-compiler → compiled_program → backend.run(...)

Bridges are intended for students, quick experiments, and direct state preparation. All underlying mathematics is handled by rqm-core.

spinor_to_circuit(alpha, beta, target=0)

Prepares the qubit state |ψ⟩ = α|0⟩ + β|1⟩ from the given spinor.

Bloch-sphere math is delegated to rqm_core.state_to_bloch.

import math
from rqm_braket import spinor_to_circuit

s = 1 / math.sqrt(2)
circuit = spinor_to_circuit(s, s)   # prepares |+⟩

bloch_to_circuit(theta, phi, target=0)

Prepares the qubit state parameterized by Bloch-sphere polar angles.

import math
from rqm_braket import bloch_to_circuit

circuit = bloch_to_circuit(math.pi / 2, 0.0)  # prepares |+⟩

Quaternion (re-exported from rqm-core)

The Quaternion class from rqm-core is re-exported for user convenience. All quaternion mathematics lives in rqm-core.

from rqm_braket import Quaternion

q = Quaternion.from_axis_angle("z", math.pi / 2)

---

What This Package Does NOT Do

rqm-braket does not implement canonical quantum mathematics.

It delegates all math operations to rqm-core:

Operation	Owner
Quaternion algebra	rqm-core
Spinor normalization	rqm-core
Bloch sphere conversions	rqm-core
SU(2) matrix math	rqm-core
Circuit compilation logic	rqm-compiler
Backend-agnostic instruction design	rqm-compiler

The rule is: rqm-braket may call math, but never define it.

---

Installation

pip install rqm-braket

Development install:

pip install -e .

---

Quick Start (Compiled Program)

from rqm_braket import BraketBackend, RQMGate

program = [
    RQMGate("H", target=0),
    RQMGate("CNOT", control=0, target=1),
]

backend = BraketBackend()

result = backend.run_local(program, shots=1000)

print(result.counts)

---

Usage Modes

rqm-braket supports two entry points depending on your audience and use case.

Mode 1 — Compiler-first (recommended for production)

rqm-compiler → compiled_program → backend.run(...)

from rqm_braket import BraketBackend, RQMGate

backend = BraketBackend()
result = backend.run_local([
    RQMGate("H", target=0),
    RQMGate("CNOT", control=0, target=1),
], shots=500)
print(result.counts)

Intended for: researchers, engineers, production workflows.

Mode 2 — Bridge functions (convenient for exploration)

spinor_to_circuit(...)
bloch_to_circuit(...)

import math
from rqm_braket import spinor_to_circuit, bloch_to_circuit, run_local

# From a spinor
s = 1 / math.sqrt(2)
circuit = spinor_to_circuit(s, s)
result = run_local(circuit, shots=200)
print(result.counts)

# From Bloch angles
circuit = bloch_to_circuit(math.pi / 2, 0.0)
result = run_local(circuit, shots=200)
print(result.counts)

Intended for: students, tutorials, quick experiments.

All quantum mathematics (Bloch conversion, spinor normalization) is delegated to rqm-core. rqm-braket only maps the results to gates.

---

Direct Translation Example

from rqm_braket import compile_to_braket_circuit, RQMGate

program = [
    RQMGate("RX", target=0, angle=1.57),
]

circuit = compile_to_braket_circuit(program)

print(circuit)

---

Examples

Local simulator

examples/basic_local_simulator.py

Bell state

examples/bell_state_demo.py

Compiled program demo

examples/compiled_program_demo.py

---

Public API

Core backend API

BraketBackend
BraketTranslator
RQMGate
compile_to_braket_circuit
run_local
run_device
BraketResult

Convenience bridges (rqm-core delegation)

spinor_to_circuit   # spinor (α, β) → Braket Circuit
bloch_to_circuit    # Bloch angles (θ, φ) → Braket Circuit
Quaternion          # re-exported from rqm-core

---

Execution Modes

Local (offline-safe)

result = run_local(program, shots=100)

No AWS credentials required.

---

AWS Device

result = run_device(
    program,
    device_arn="arn:aws:braket:...",
    s3_folder=("bucket", "prefix"),
    shots=100
)

Requires standard AWS + Braket configuration.

---

Development

Run tests:

pytest

All tests are:

• offline-safe
• no AWS credentials required
• include mocked cloud execution

---

Design Principles

Math Delegation

rqm-braket does not implement canonical quantum mathematics.

All physics and math operations are delegated to rqm-core:

rqm-core     = physics + math
rqm-compiler = structure
rqm-braket   = translation + execution

The rule: rqm-braket may call math, but never define it.

---

Thin Adapter Layer

rqm-braket is intentionally minimal:

• no duplicated logic
• no second IR
• no math reimplementation

---

Compiler Boundary

All inputs come from:

rqm-compiler

This ensures:

• backend independence
• clean separation of concerns
• extensibility to new platforms

---

Backend Agnostic Design

Because the compiler produces a canonical instruction format:

rqm-compiler → rqm-qiskit
rqm-compiler → rqm-braket
rqm-compiler → future backends

---

Versioning

Current version: 0.2.0

This release introduces:

• compiler-based architecture
• BraketBackend abstraction
• clean translation/execution separation
• backward-compatibility shims (deprecated)

---

Roadmap

Future improvements may include:

• parameter binding support
• batched execution
• hybrid Braket workflows
• richer result analysis
• multi-qubit optimization paths

---

License

MIT License

Copyright (c) RQM Technologies