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QuantaBullArchitecture Overview

A comprehensive quantum-classical hybrid platform combining custom hardware acceleration with sophisticated software orchestration for financial workloads.

Hardware Architecture

Custom FPGA and quantum hardware designed for ultra-low latency financial computations

Software Architecture

5-layer QFabric software stack from application interface to hardware control

Full-Stack Quantum Integration

QFabric provides a complete abstraction from application interface to hardware control, enabling seamless execution across custom QPUs and third-party quantum backends.

Layer 1

Application Interface Layer

High-level abstraction providing financial institutions with pre-built algorithm templates and circuit builders optimized for risk, portfolio optimization, and options pricing workloads.

Circuit Builders
Intuitive tools for constructing quantum circuits
Algorithm Templates
Pre-optimized for financial use cases
Result Post-Processing
Automated data transformation and analysis
Target Users
Financial Institutions
Quantum Researchers
Primary Workloads
Risk Management
Portfolio Optimization
Options Pricing
DeFi Analytics
Core Technologies
QFabric IRProprietary
Extended OpenQASM 3.0Open Standard
Financial Primitives
Custom gate sets and operations optimized for correlation matrices, covariance calculations, and multi-asset portfolio analysis.
Layer 2

Intermediate Representation Layer

Proprietary IR extended from OpenQASM 3.0, featuring financial-specific primitives and real-time classical control for hybrid quantum-classical algorithms.

Financial Primitives
Domain-specific quantum operations
Classical Control
Real-time optimization loops
Extended OpenQASM
Industry-standard compatibility
Layer 3

Compilation & Optimization Engine

Advanced transpiler with intelligent pass management, automatically optimizing circuits for target hardware topology while implementing error mitigation strategies.

Transpiler
Auto-mapping to custom QPU topology
Gate Decomposition
Optimal gate set transformation
Pass Manager
Multi-stage optimization pipeline
Error Mitigation
Noise-aware circuit optimization
Optimization Features
Finance-Optimized Gates
Custom decompositions for correlation calculations
Topology Mapping
Automatic adaptation to hardware constraints
Error Mitigation
Zero-noise extrapolation and readout correction
Performance Impact
3-5x
Circuit depth reduction vs. naive compilation
Backend Support
QuantaBull Custom QPUPrimary
IBM Quantum
AWS Braket
IonQ
Rigetti
Latency Performance
Sub-Microsecond
Job scheduling and dispatch
Layer 4

Backend Abstraction Layer

Unified interface for heterogeneous quantum backends, providing seamless job scheduling, credential management, and sub-microsecond dispatch to both custom and third-party hardware.

Unified Backend Interface
Single API for all quantum providers
Job Scheduling
Intelligent workload distribution
Credential Management
Secure multi-provider authentication
Layer 5

Hardware Control Layer

Direct FPGA pulse control with RFSoC integration, enabling real-time waveform generation and feedback for QuantaBull's custom QPU and classical accelerators.

FPGA Pulse Control
Nanosecond-precision quantum gate operations
Direct RFSoC Integration
Low-latency RF signal generation and acquisition
Waveform Generation
Arbitrary pulse shaping for optimal gate fidelity
Real-time Feedback
Adaptive quantum control for error suppression
Hardware Capability
20-50 Qubit Custom QPU
Custom topology with programmable coupling
Hardware Targets
QuantaBull Custom Hardware
Proprietary 20-50 qubit QPU with custom topology and FPGA control plane
Programmable CouplingCustom Electronics
3rd Party Quantum
IBM Quantum, AWS Braket, IonQ, Rigetti
Custom FPGA
RFSoC platforms for pulse-level control
Classical Accelerators
GPU/CPU simulators for hybrid workloads

Financial Use Case: Risk Calculation Pipeline

End-to-end execution flow demonstrating 40x speedup over classical Monte Carlo methods

1

Auto-Transpilation

Map problem to custom QPU topology with finance-optimized gates

2

Hybrid Pre-Processing

FPGA accelerates classical parts of VQE loop (sub-microsecond)

3

Quantum Execution

Calculate correlation energy on QuantaBull Custom Hardware

4

Post-Processing

FPGA aggregates results and calculates risk metrics

Input Size
100×100
Asset Correlation Matrix
Total Execution Time
50ms
vs 2.0s Classical Monte Carlo
Performance Gain
40x
Speedup

Business Value

Enables real-time risk management for high-frequency trading desks, allowing intra-day portfolio rebalancing instead of overnight batch processing. This provides institutional investors with unprecedented agility in volatile crypto and capital markets.

Ready to Transform Your Trading Infrastructure?

Get in touch to learn how QFabric can deliver institutional-grade quantum acceleration for your financial workloads.

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