QuantaCore™ Quantum Control Plane
Runtime quantum information routing with reversible state transformations.
The first demonstrated capability to dynamically route quantum information between operator planes and reliably restore original state—validated on IBM's 156-qubit processor.
Or email: [email protected]
The Quantum Control Plane
Dynamic quantum information placement without measurement collapse—enabling quantum memory, checkpointing, and adaptive workflows impossible on standard NISQ systems.
Toggle-Based Information Control
Baseline (Z-basis)
Z⊗Z = 0.84
Y⊗Z = 0.04
Operational state
Toggle ON (Migrate)
Z⊗Z = 0.24
Y⊗Z = 0.07
Protected plane
Toggle OFF (Return)
Z⊗Z = 0.78
Y⊗Z = 0.05
Recovered state
71% Z-parity suppression when toggled ON,
92% recovery when toggled OFF
Validated on production quantum hardware (IBM ibm_fez)
(4 circuits, 8 measurements)
(Toggle ON then OFF)
(Information routing)
Quantum Memory
Store quantum information in protected plane while performing other operations, then retrieve with 92% fidelity. No measurement collapse.
Quantum Checkpointing
Save quantum state before risky operations. If operation fails, restore checkpoint and retry—fault tolerance without full error correction.
Adaptive Workflows
Toggle protection ON during noisy periods, OFF during clean windows. Dynamic optimization based on real-time hardware state.
The Three-Layer Architecture
QuantaCore's control plane is built on three integrated technologies: Q-HAL for intelligence, basis migration for transformation, and orchestration for runtime control.
Q-HAL™ (Hardware Abstraction Layer)
Runtime hardware characterization system measuring how logical operators couple to physical error landscape. Determines optimal basis for current hardware state.
- Adaptive decision-making
- Platform-agnostic design
- 6-7 second characterization
- 67% optimal selection rate
Basis Migration Capability
Unitary transformations between operator bases (Y⊗Z proven, others possible). Information-preserving rotations with demonstrated reversibility.
- 71% Z-parity suppression
- 42% Y⊗Z enhancement
- 92% round-trip fidelity
- Scales to 116 qubits
Control Plane Orchestration
Runtime orchestration combining Q-HAL + migration + decision logic. Toggle ON/OFF capabilities enabling unprecedented quantum control.
- Quantum memory (store/retrieve)
- Selective protection
- Dynamic checkpointing
- Adaptive workflows
How they work together: Q-HAL characterizes hardware state → Control plane decides if migration is beneficial → Basis migration executes transformation → Information protected in Y⊗Z plane → When needed, reverse transformation retrieves state → Computation continues with recovered information.
Q-HAL™: Adaptive Basis Selection
Runtime characterization enabling optimal operator basis selection based on current hardware conditions.
Runtime Characterization
Q-HAL measures hardware state in real-time: coherence times, gate fidelities, noise profiles. Determines which operator basis provides optimal performance.
- 6-7 second characterization time
- Multi-region validation complete
- Platform-agnostic (IBM, IonQ validated)
Adaptive Selection Results
12-run validation across clean, moderate, and noisy regions on IBM Heron R2 processor.
Key Insight: Hardware State Matters
Same qubits at different times required different bases. Clean regions favored standard approach (67%), moderate regions favored migrated basis (83%), noisy regions showed mixed results. This proves runtime characterization is essential—static solutions are insufficient.
Hardware Validation Evidence
Multi-scale validation from micro-level (4 qubits) to production-scale (116 qubits) with statistical confidence exceeding 100-sigma.
Control Plane Validation (Jan 10, 2026)
Four-circuit comparison on IBM ibm_fez demonstrating correlation routing and round-trip reversibility.
- C0 baseline: Z⊗Z = 0.8447
- C1 migrated: Z⊗Z = 0.2412 (71% suppressed)
- C2 returned: Z⊗Z = 0.7754 (92% recovered)
Large-Scale Architecture (Dec 2025)
29 independent 4-qubit modules spanning 116 qubits on IBM Heron R2, demonstrating modular scaling advantage.
- Average fidelity: 77.1%
- Peak Y⊗Z: -0.97
- Linear scaling demonstrated
Adaptive Selection (Jan 8, 2026)
12 runs across 3 regions testing Q-HAL's runtime basis selection capability.
- Moderate: Migrated wins 5/6
- Clean: Standard wins 2/3
- Noisy: Migrated wins 2/3
Multi-Platform Proof
Platform-agnostic design validated across superconducting and trapped-ion architectures.
- IBM: 156-qubit Heron R2 ✓
- IonQ: Trapped-ion simulator ✓
- Google: Partnership discussions active
- DARPA US2QC: Program alignment ✓
Strategic Positioning
QuantaCore is complementary to existing quantum stacks—not competitive. We enhance IBM Qiskit, Google Cirq, and all major platforms with runtime control capabilities.
Current Quantum Platforms
IBM Qiskit, Google Cirq, Microsoft Q#
- Prepare → Execute → Measure (one-shot)
- Static compilation at circuit design
- No mid-flight information control
- Error mitigation: post-processing only
QuantaCore Control Plane
Platform Layer Above Hardware
- Prepare → Toggle → Store → Toggle → Retrieve
- Runtime adaptive basis selection
- Dynamic information routing (no measurement)
- Proactive quantum state management
Integration strategy: QuantaCore integrates with existing SDKs as an optional optimization layer. Algorithm → QuantaCore control plane → Qiskit/Cirq → Hardware. Compatible with all major quantum cloud providers.
Partner with Quantum-Clarity
QuantaCore represents the first quantum control plane with hardware-validated runtime information routing. Join us in making quantum computing practical through adaptive control.
Or email: [email protected]
Hardware validated • 92% round-trip fidelity • DARPA US2QC aligned