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Phylax Matrix: Quantum-Classical Qubit Processor
12-Month IOC Roadmap for a 300K 50-Qubit Hybrid Processor with 50% Reserve
Syncretic AI LLC @ Phylax Matrix© U.S. Patent Application No. 63/837,459 filed July 2, 2025; U.S. Patent Application No. 63/849,260 filed July 23, 2025; and U.S. Patent Application No. 63/851,559 filed 26 July 2025, and U.S. Patent Application No. 63/861,581 filed 11 Aug 2025 3:24:04 PM ET; U.S. Patent Application No.63/878,574 filed 9 Sept 2025 4:31:26 PM EDT; U.S. Patent Application No. 63/909,793 filed 1 Nov 2025 2:51:13 PM EDT.
Steven Layne: slayne@syncreticai.com Joe Rotolo: jrotolo@syncreticai.com David Rondeau rondeauconsultant@gmail.com
Strategic Pathway to IOC
Deploying an Initial Operational Capability q-MHD system with a hybrid stack built on a PPX classical processor, scalable GPU cluster (32-4 GPUs), and 50-qubit quantum processor represents a logical, modular path to operational quantum-classical integration.
Progressive Hybridization
PPX processor and GPU array handle compute-intensive tasks: state prep, classical filtering, anomaly detection, QAOA parameter sweeps, and digital twin updates—mirroring the hybrid classical/quantum suite in the PPA.
Practical Quantum Ramp
Starting at 50 qubits for IOC focuses risk on manageable, demonstrated state-of-the-art hardware scale. Edge AI ensures only quantum-advantage workloads reach qubits while GPUs shoulder the bulk.
Modular Scaling
As confidence grows with the 50-qubit stack, incremental upgrades to quantum modules or GPU reductions enable tighter coupling and higher efficiency within the same architecture.
12-Month Roadmap to IOC
Phased milestones delivering a working Phylax Matrix quantum-classical processor for q-MHD/fusion/space applications. Target: <$50M direct cost with 50% reserve, meeting IOC criteria in 12 months.
1
Months 0-3: Foundation
Baseline setup, team assembly, PPA/IP alignment, stack bootstrap with classical preprocessing, GPU cluster orchestration, and digital twin infrastructure. $14M
2
Months 2-6: Integration
Zone hardware deployment (sensors, DAQ, FPGA/GPU edge cards), 50-qubit device selection and integration, QEC parameter sweep, amplitude encoding readiness. $14.5M
3
Months 4-10: Validation
Q-MHD/fusion lab coupling with real plasma/field loopback, closed-loop demos achieving sub-2ms recoherence, >99% stability verification. $13M
4
Months 7-12: IOC Delivery
Performance and durability testing (1000-hour runtime), field stress validation, commercial and DOD pilot handoff with full documentation and training. $13.5M
Program Total: $47.5M base + $23.8M reserve = $71.3M maximum
System Architecture & Cost Breakdown
Hardware Components
  • Compute Stack: PPX-class classical preprocessor with 16-32 GPUs (NVIDIA A100/H100) for state prep, anomaly filtering, digital twin operations
  • Quantum Zone: 50-qubit processor (IBM, Rigetti, or IonQ-class) with minimum 2.5ms gate time, QAOA, QEC, QSVM ready
  • Sensing/DAQ: Multimodal sensors (EM, thermal, dielectric, pressure) with FPGA/microsecond DAQ synchronization
  • Actuation: Edge controller drivers for magnetics, coolant, pulse scheduling with zone-modular architecture
Software Pipeline
  • Classical Preprocessing: MDAS, CDS, ACD, ASSC, SPQM-B with real-time zone tagging and sensor dropout tolerance in digital twin loop
  • Quantum Pipeline: QPE, QAOA, QEC, QSVM, PCA—all amplitude encoded with Mottonen method, zone failure fallback capability
  • Digital Twin: Automated sim replay, KPI traceability, provenance tags, integrated dashboard with JHU/DARPA reporting interface
Risk Mitigation & Path to 120 Qubits
Critical Risk Nodes & Mitigations
Zone Hardware
Risk: Sensor drift, EMI cross-coupling
Mitigation: Failsafe agentic fallback, twin-based imputation, redundant sensors with real-time testing
Quantum Hardware
Risk: Qubit gate error rates near threshold
Mitigation: Parameter sweep, GPU fallback capability, QEC tuning protocols
Integration Synchrony
Risk: Zone desync, feedback instability
Mitigation: Sub-millisecond reminders, zone-loss degradable mode, profiling and CPU affinity optimization
Upgrade Pathway
Modular quantum kernel design enables slot-in upgrade to 120 qubits with minimal stack retraining. System tested with quantum-agnostic I/O supporting up to 120 zones. Each quantum upgrade allows GPU resources to downscale, reducing power and hardware requirements while maintaining full operational capability.

Bottom Line: This IOC approach eliminates research-only risk and delivers a working system at mission-relevant pace, leveraging proven components, Khan 2024 validation (16+ qubit QEC, sub-2ms response), and 11,000+ simulation runs from PPA-6f.