Designing and Executing Quantum Circuits with SpinQ

Visual Circuit Design: SpinQ Educate

SpinQ Educate’s drag-and-drop workspace lets users assemble quantum circuits without writing code.

• Qubit Canvas: Place and connect qubit lines, representing each physical qubit (e.g., Gemini’s two NMR nuclei or Flux’s superconducting nodes).
• Gate Palette: Choose from standard gates (X, Y, Z, H, S, T), multi-qubit operations (CNOT, SWAP) and custom pulses.
• Live Simulation: Preview state vectors and Bloch spheres at each circuit stage, deepening intuition before running on hardware.

This visual approach lowers barriers for novices, enabling experimentation with entanglement, superposition and simple algorithms such as Deutsch–Jozsa and Grover’s search.

Programmatic Control: SpinQ CodeLab and Open API

For advanced users, SpinQ CodeLab provides a Python-based IDE with full access to SpinQ’s hardware via RESTful APIs.

• Circuit Definition: Leverage the SpinQ Python SDK to define circuits as objects:
• python
• from spinq import Circuit, Device circ = Circuit(2) circ.h(0) circ.cx(0,1) circ.measure_all() result = Device('Gemini').run(circ, shots=1024)
• Parameter Sweeps: Automate pulse-parameter scans to optimize gate fidelities and calibrate device performance.
• Custom Gate Injection: Upload user-defined pulse sequences for research in novel gate implementations or noise-mitigation techniques.

This code-centric workflow seamlessly transitions from simulation to hardware, with real-time job monitoring and data retrieval.

Hardware Execution: NMR and Superconducting Platforms

SpinQ’s diverse hardware supports circuit experimentation across architectures:

• NMR Systems (Gemini, qPod)
  • Two nuclear-spin qubits with long coherence allow deep circuits of 20+ gates.
  • Precise RF pulses implement rotations and controlled operations with >99% fidelity.
• Superconducting Systems (Flux)
  • Four transmon qubits interconnected via tunable couplers facilitate multi-qubit circuits.
  • Fast gate times (~50 ns) support dynamic circuits such as variational quantum eigensolvers.

All devices feature spin-echo and dynamical decoupling routines integrated into the execution pipeline to preserve circuit integrity during long experiments.

Cloud Integration and Experiment Management

SpinQ’s Cloud Portal centralizes circuit workflows:

• Job Scheduling: Queue experiments on any available device, local or remote.
• User Management: Define access roles, track usage and share circuits among team members.
• Data Analytics: View measurement histograms, circuit fidelities and error bars via built-in dashboards.

This cloud-native architecture democratizes access to physical quantum processors, supporting classes of 100+ users concurrently.

Real-World Applications and Learning Outcomes

By leveraging SpinQ’s quantum circuit ecosystem, institutions and labs achieve:

• Hands-On Algorithm Development: Implement and benchmark quantum algorithms end-to-end, from circuit design to hardware execution.
• Error-Mitigation Studies: Explore pulse shaping, composite pulses and decoding strategies within live circuits.
• Skill Acquisition: Equip students with practical expertise in circuit construction, debugging and data analysis—critical competencies for quantum industry roles.