Mute Button
Mute the noise. Keep the signal.
Noise-resistant quantum encoding that works on today's hardware
Mute the noise. Keep the signal.
Noise-resistant quantum encoding that works on today's hardware
Decoding accuracy maintained through 20 layers of two-qubit gate noise on IBM Quantum hardware. Independently verifiable.
Current quantum computers are noisy. Traditional quantum encodings degrade rapidly under real hardware conditions, making results unreliable.
| Encoding | Depth 0 | Depth 10 | Depth 20 |
|---|---|---|---|
| Standard |0⟩ | 99% | 71% | 52% |
| Fixed Pattern | 95% | 68% | 45% |
| Mute Button | 100% | 100% | 100% |
Depth = layers of CNOT gates (two-qubit operations that introduce noise)
All results independently verifiable via IBM Quantum job IDs
6/6 correct at depths 0, 10, 20
6/6 correct at depths 0, 10, 20
6/6 correct at depths 0, 10, 20
6/6 correct at depths 0, 10, 20
6/6 correct at depths 0, 10, 20
6/6 correct at depths 0, 10, 20
Download, unzip, and install with pip. Requires Python 3.13+ on macOS.
Download for macOS (52 KB)
After downloading: unzip subvurs_mute_button_macos_1.0.0.zip && pip install ./
Traditional QEC requires thousands of physical qubits per logical qubit and constant active correction. The Mute Button works with just 7 qubits and requires no active intervention - it's a passive encoding that naturally resists noise.
Statistical decoding requires multiple measurement shots (~1000+) rather than single-shot readout. This is acceptable for most NISQ applications where you're already running multiple shots for statistical accuracy.
Yes. All job IDs listed above are real IBM Quantum jobs. If you have an IBM Quantum account, you can retrieve and verify the raw measurement data yourself.
The Mute Button stores quantum information in noise-resistant probability distributions rather than fragile fixed states. This makes the encoding naturally resilient to the types of noise present in current quantum hardware.