Quantum Vibrometer

Room-temperature atomic sensor using optical tweezers and piezo-driven quartz vibrations. FPGA + ESP32 hybrid control. No cryostat.

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About Quantum Fuse

Quantum Fuse is now a **room-temperature quantum vibrometer** that detects mechanical vibrations using trapped neutral atoms in optical tweezers. We use a 1064 nm laser module, FPGA for trap modulation, ESP32 for DDS control, and a piezo-driven synthetic quartz plate as the vibration source. Inspired by the 6,100-qubit tweezer breakthrough, we’re coupling atomic qubits to mechanical modes—no cryostat needed.

Fork the repo, build the sensor, and help us push the limits of quantum sensing at room temp. ingen0s/quantumfuse

Example of an 823 mHz - 100 Hz pulse

The Q-Resonator

The Q-Resonator now uses **optical tweezers at 1064 nm** to trap cesium atoms and **piezo-driven quartz** to induce vibrations. The FPGA modulates trap depth at 30 kHz, while the ESP32 drives the AD9851 for 10 Hz–10 MHz pulses. Scattered light from atoms shows Doppler sidebands at vibration frequency—quantum readout at room temp.

Full docs: Q-Resonator Documentation

Q-Resonator

Atomic Interferometer

We're using **atomic fluorescence** from trapped atoms as the interference signal. The FPGA reads photodiode ADC at 1 MSPS, applies FFT, and detects vibration peaks. ML denoising runs on a PC to extract sub-nm motion from shot noise.

Setup guide: Atomic Interferometer

Cryostat: Shelved

November 1, 2025: The ADR cryostat is **shelved** after the 6,100-qubit tweezer breakthrough proved room-temperature operation with 12.6 s coherence. We're now fully optical-mechanical hybrid—no LHe, no vacuum, no cryostat.

Historical build guide (for reference): ADR Cryostat Build Guide

Code & Resources

FPGA + ESP32 hybrid firmware. FPGA handles trap PWM and ADC, ESP32 runs web UI and DDS control. All open source.

FPGA-ESP32 Firmware

Trap modulation + vibration control + FFT readout.

quantum_vibrometer.ino

Contribute

Build the sensor. Test 10 Hz. Push to 10 MHz. Let’s make quantum sensing real.

Fork on GitHub