| name | organic-magnetic-field-free-quantum |
| description | Magnetic-field-free quantum computing and quantum reservoir computing framework using engineered organic materials based on the 3-Layer Quantum Brain Hypothesis. Covers SVILC qubits, CQEC error correction, and four implementation paths. Use when: organic quantum computing, quantum reservoir computing, spin-vortex qubits, magnetic-field-free quantum architectures, quantum neuroscience, or engineered organic quantum materials. |
Organic Magnetic-Field-Free Quantum Computing
Unified framework for magnetic-field-free quantum computing and quantum reservoir computing using engineered organic materials, based on the 3-Layer Quantum Brain Hypothesis and SVILC qubits.
Metadata
- Source: arXiv:2605.00026
- Authors: Hikaru Wakaura, Taiki Tanimae
- Published: 2026-04-22
Core Innovation
Extends the spin-vortex-induced loop-current (SVILC) qubit and the 3-Layer Quantum Brain Hypothesis to engineered organic materials, enabling quantum computing without any applied magnetic field — drastically reducing infrastructure overhead.
Four Implementation Paths
| Path | Material/System | Focus |
|---|
| P1 | Flavin–nitroxide radical-pair reservoir | Quantum reservoir computing |
| P2 | PTM radical array in covalent organic framework | High-fidelity gate operations |
| P3 | SVILC analogue on κ-(BEDT-TTF)₂Cu[N(CN)₂]Br | Conditional on SVILC confirmation |
| P4 | Su–Schrieffer–Heeger soliton on trans-polyacetylene | Topological soliton qubits |
Key Results
CQEC Error Correction
- Covariant-purification Quantum Error Correction (CQEC) demonstrates recovery past entangbreaking threshold
- Peak fidelity gain at γ=0.5: ΔF = +0.303 for Shor-Regev (d=64)
- 100 trials per configuration; p<10⁻⁵ across all 16 path × algorithm pairs
Quantum Advantage
- Bernstein-Vazirani: P2–P4 achieve CQEC-corrected one-query success rates ≥0.95 vs. classical 2⁻ⁿ
- 7.6–31× advantage for n=3–5
Hardware Efficiency
- 10–40× manufacturing cost reduction vs. competing platforms
- 10–200× power consumption reduction
- Gate fidelity: CZ ≥ 0.987 for P2–P4 (diarylethene photoswitch)
Framework Components
SVILC Qubit Verification
All eight SVILC conditions must be verified:
- Spin-vortex formation in organic π-conjugated system
- Loop-current generation without external magnetic field
- Qubit coherence time sufficient for gate operations
- Two-qubit coupling mechanism
- Readout mechanism
- Initialization protocol
- Gate operation fidelity
- Scalability pathway
CQEC Simulator
def cqec_simulation(path, algorithm, gamma=0.5, n_trials=100):
"""
Simulate CQEC-corrected quantum algorithm on organic platform.
Parameters:
- path: P1, P2, P3, or P4 implementation
- algorithm: quantum algorithm to test
- gamma: decoherence parameter
- n_trials: number of simulation runs
Returns:
- fidelity_gain: improvement from CQEC
- success_rate: algorithm success probability
"""
pass
Applications
- Scalable quantum computing with minimal infrastructure
- Quantum reservoir computing for neuromorphic applications
- Low-power quantum edge devices
- Brain-inspired quantum information processing
- Organic quantum sensor networks
Pitfalls
- P3 is conditional: Requires experimental confirmation of SVILC before implementation
- Toy-scale benchmarks: Current quantum advantage demonstrated only for n=3–5
- Theoretical framework: Many predictions await experimental validation
- Material synthesis: Organic material engineering for P2–P4 requires specialized chemistry
- Decoherence modeling: Gamma parameter must be calibrated for each material system
Related Skills
- quantum-neuromorphic-computing
- quantum-reservoir-computing
- quantum-brain-neural-architecture
- quantum-neuroscience-analysis
- neuromimetic-perceptual-compression
