Quantis USB-4M · Floquet DTC · Zeta Comb · PP-RAI 2026
Quantis
DeepSeek
Llama
Aer
OFFLINE
CYCLE QRNG BUF ε(t) QRNG ε(t) PRNG
Live Metrics Floquet cycle · 0.6s interval · Quantis USB-4M ε(t)
Entropy S
von Neumann · QRNG track
Syntropy Σ
1 − IPR(QRNG)
Fidelity
1 − |ds²|
MBL Gain
QRNG vs PRNG · target +38%
Entropy Source
IPR — Inverse Participation Ratio (QRNG track) IPR = 1/Σ|cᵢ|⁴ · normalised · lock < 0.3 · paper §2.1
0.0 Syntropy lock0.30.61.0 Entropy drift
Offline
⚠ ENGRAM·P correction dispatched
QRNG vs PRNG — IPR Comparison · Paper Table 2 Identical Floquet circuit · entropy source is the only variable
QRNG — Quantis USB-4M (4 Mbps)
PRNG — numpy baseline
Lock threshold 0.3
current MBL stability gain · QRNG vs PRNG
Paper target: +38% MBL stability
LLM Controllers · Ollama
DeepSeek-V3
Recovery · dispatched when IPR ≥ 0.3
STANDBY
Llama 3.3
Maintenance · active when IPR < 0.3
STANDBY
ENGRAM Memory Architecture · §2.4
EEpisodic
IPR history · phase noise · drive params
SSemantic
Zeta zeros · Quantis specs · IPR formula
PProcedural
Phase_Reset_v2 · NOT-NOT gate logic
Cycle Log No cycles recorded
Start the simulation to record cycles.
Session Summary
Cycles
Avg IPR · QRNG
Avg IPR · PRNG
Avg MBL gain
Lock time · QRNG
Lock time · PRNG
Corrections
Run the simulation to generate an inference.
ENGRAM Query Interface ENGRAM context injected into every query · streaming
ENGRAM autonomous controller ready. Start the simulation, then ask either model about the current system state, QRNG vs PRNG comparison, or IPR trend.
QRNG vs PRNG IPR analysis Zeta comb Session summary Procedural memory NOT-NOT gate