ORCHID: Orchestrated Reduction Consensus for Hash-based Integrity in Distributed Ledgers
Abraham Itzhak Weinberg

TL;DR
ORCHID introduces a bio-inspired, quantum-augmented consensus protocol for distributed ledgers, leveraging neural oscillation models and coherence-weighted secret sharing to achieve scalable, Byzantine-resilient agreement.
Contribution
It maps neuroscientific binding principles onto blockchain consensus, integrating quantum secret sharing and demonstrating superior scalability and fault tolerance over traditional methods.
Findings
Achieves 100% consensus at up to 40% Byzantine faults
Outperforms PBFT with O(n·k) message complexity for large networks
Demonstrates high coherence and synchronization in simulations
Abstract
We present \textbf{ORCHID} (\textit{Orchestrated Reduction Consensus for Hash-based Integrity in Distributed Ledgers}), a novel bio-inspired consensus protocol that maps the neuroscientific \emph{binding problem} -- how the brain integrates distributed neural oscillations into a unified conscious percept -- onto the distributed systems \emph{consensus problem}, how blockchain nodes agree on a single ledger state under Byzantine faults. Grounded in the Penrose--Hameroff Orchestrated Objective Reduction (Orch~OR) hypothesis and the Kuramoto synchronisation model, ORCHID equips each node with a quantum-noisy phase oscillator; consensus is triggered when the network's order parameter crosses a \emph{binding threshold} , mirroring the gamma-band binding event in conscious perception. ORCHID is further strengthened by a coherence-weighted Quantum Secret Sharing (QSS) layer,…
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