Technical Details

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Overview

The Resonant Phase Computer (RPC) is a hybrid analog/digital accelerator that solves combinatorial optimization by encoding variables as phases of nonlinear oscillators and constraints as couplings. The system evolves under controlled schedules to low-energy states corresponding to high-quality solutions.

Architecture

  • Analog compute plane: Oscillator arrays, tunable couplers, DAC/ADC injection and readout.
  • Digital control plane: FPGA/SoC timing, calibration, schedules, PCIe host link.
  • Form factors: MVP PCIe board -> multi-board pilots -> rack systems -> ASIC roadmap.

Boundary Phase Resonance (BPR)

Boundary Phase Resonance describes resonant phase patterns that emerge at interfaces between synchronized and unsynchronized regions. These patterns propagate information globally, helping the system avoid shallow minima and converge faster to stable solutions.

Mathematical Formulation

We target binary optimization expressed as Ising or QUBO forms. A typical QUBO objective seeks to minimize E(x) = x^T Q x subject to x in [0,1]^n. The equivalent Ising form uses spins s in [-1,+1]^n with energy E(s) = - sum over i of h_i s_i minus sum over i<j of J_ij s_i s_j.

Readable equations
QUBO: E(x) = x^T Q x, with x in [0,1]^n
Ising: E(s) = - sum over i: h_i s_i - sum over i<j: J_ij s_i s_j, with s in [-1,+1]^n
Phase mapping (conceptual): s_i maps to sign(cos(phi_i))

Specifications

CategorySpecNotes
Compute coreOscillator network (analog)Phase‑based variable representation
ControlFPGA + MCUTiming, schedules, calibration
Host linkPCIe Gen3 x4 (MVP)Gen4 roadmap
Board power50-150 W (target)Workload dependent
Problem size64 variables (MVP)Scaling with ASIC roadmap
SDKPython, C++CLI utilities included
EnvironmentRoom temperatureNo cryogenics required
Form factorPCIe add-in cardRack systems for multi‑board