NHSS (Non-Hermitian Spectral Steering) introduces a fundamentally new way of performing quantum computation by steering quantum states through Exceptional Points (EPs) using measurement-induced non-unitary evolution.
Unlike traditional quantum computingβwhere unitary gates are used and noise must be suppressedβNHSS intentionally uses decoherence, dissipation, and measurement feedback as computational resources.
This repository provides the first full implementation of NHSS concepts using IBM Quantum Dynamic Circuits, including the definition of the Ep-bit, a new information unit based on topological state transitions.
- Information is stored in amplitudes of |0β© and |1β©
- Operations must be reversible and unitary
- Noise is a problem that must be minimized
- Information is stored in topological properties of an effective non-Hermitian Hamiltonian
- Measurement + feedback drives non-unitary evolution
- Noise becomes part of an effective computational engine
H_eff = H + iΒ·Ξ³Β·Z
An Ep-bit (Exceptional Point bit) is a new logical information unit defined by the systemβs position relative to an Exceptional Point.
When the system encircles an EP:
- 1 loop (~2Ο) β eigenstate switching
- 2 loops (~4Ο) β return to original state
This switching behavior acts like a logical bit flip, driven by topological phase transitions, not quantum amplitudes.
β‘ Ep-bit = topological quantum memory.
| Traditional QC | NHSS |
|---|---|
| Uses unitary operations | Uses non-unitary evolution |
| Noise = error | Noise = part of computation |
| Info encoded in amplitudes | Info encoded in topology |
| Gates act locally | EP loops act globally |
| Hard to scale robustly | Topology potentially increases stability |
NHSS represents a new paradigm, not a variant of the gate model.
NHSS-Quantum-Computing/
β
βββ README.md
βββ LICENSE
βββ .gitignore
β
βββ docs/
β βββ theory_summary.md
β βββ epbit_model.md
β βββ device_requirements.md
β βββ NHSS_Whitepaper.md
β
βββ src/
β βββ nhss_simulator.py
β βββ ibm_device_experiment.py
β βββ utils/
β βββ measurement_feedback.py
β βββ parameter_sweep.py
β
βββ examples/
βββ epbit_basic_demo.py
βββ exceptional_point_scan.py
git clone https://github.com/<your-username>/NHSS-Quantum-Computing.git
cd NHSS-Quantum-ComputingWindows:
python -m venv .venv
.venv\Scripts\activatemacOS / Linux:
python3 -m venv .venv
source .venv/bin/activatepip install --upgrade pip
pip install qiskit qiskit-aer qiskit-ibm-runtimepython examples/epbit_basic_demo.pypython examples/exceptional_point_scan.pyThese simulations visualize how measurement + feedback induces EP-like state transitions.
Edit:
src/ibm_device_experiment.py
Replace:
MY_IBM_TOKEN = "PUT-YOUR-TOKEN-HERE"python src/ibm_device_experiment.pyThe script will:
- Connect to ibm_fez or ibm_torino
- Build the NHSS circuit
- Sweep Ξ³ parameters
- Print measurement results
- Reveal EP-like eigenstate switching
- docs/theory_summary.md β NHSS physics & non-Hermitian Hamiltonians
- docs/epbit_model.md β Ep-bit definition & behavior
- docs/device_requirements.md β IBM hardware requirements
- docs/NHSS_Whitepaper.md β Compact whitepaper of the NHSS paradigm
NHSS is:
- A new theoretical paradigm
- Experimentally implementable on IBM hardware
- Based on non-Hermitian topology instead of Hilbert-space amplitudes
- Introducing Ep-bits as new quantum information units
The goal of this repository is to make NHSS reproducible, testable, and extendable by the research community.
Contributions are welcome in:
- Non-Hermitian quantum mechanics
- Exceptional Point physics
- Measurement-based quantum control
- IBM quantum hardware experiments
- Topological quantum computing
Feel free to open an issue or pull request.