ONE TECH & AI — Quantum BrochureQuantum Brochure
ONE TECH & AI
Quantum Computing Division
Quantum
Computing
Simulator
Platform
Research · Education · Innovation
150+
Algorithms
4
Dimensions
Real-Time
Simulation
ONE TECH AND AI — QUANTUM DIVISION
www.onetechandai.com
01
Our Vision
Quantum education
demands
interactive
software.
Traditional curricula leave quantum mechanics abstract and inaccessible. Our platform transforms theory into interactive, visualisable, experimentable reality — bridging the gap between mathematical formalism and physical intuition.
“Making the quantum world computable, visual, and collaborative — for the next generation of researchers.”
— One Tech & AI Mission Statement
⚛
Interactive Simulation
Real-time quantum state manipulation with visual feedback at every step of computation.
◈
Research-Grade Accuracy
Full unitary evolution, noise models, and hardware-faithful gate sets for publishable research.
⬡
Collaborative Platform
Share circuits, co-design algorithms, and integrate with university LMS systems seamlessly.
02
Platform Overview
A unified
quantum
software
ecosystem.
Six tightly integrated modules share a common state management core, enabling seamless data flow from raw classical data through quantum encoding, circuit execution, measurement, and AI-powered decoding — all within a single environment.
Circuit Builder
Drag-and-drop gate placement
MODULE
Feature Mapper
Amplitude & angle encoding
MODULE
Gate Designer
Custom unitary synthesis
MODULE
3D Visualiser
Interactive Bloch sphere render
MODULE
Quantum AI
VQE, QAOA, QML decoder
MODULE
Hardware Bridge
FPGA & photonics I/O
MODULE
6
Modules
∞
Qubit Scale
<1ms
Gate Latency
03
Interactive Circuit Builder
Design quantum
algorithms
visually.
Feature Highlights
Drag & Drop Interface
Place any gate on any qubit wire with a single drag. Connections auto-route.
Real-Time State Vector
Watch the full 2ⁿ state vector update instantly as you build your circuit.
Unitary Matrix Viewer
Inspect the complete unitary of any sub-circuit at any point during design.
Noise Model Simulation
Apply depolarising, dephasing, and amplitude damping channels to any gate.
04
Feature Mapping Module
Classical data
→ quantum
states.
The Feature Mapping Module encodes arbitrary classical datasets into quantum Hilbert space using a library of provably expressive encoding strategies. Directly compatible with variational quantum algorithms and quantum machine learning pipelines.
Amplitude Encoding
∑ xᵢ|i⟩
O(log n) qubits
Angle Encoding
Rᵧ(xᵢ)|0⟩
One qubit / feature
Basis Encoding
|x⟩ direct
Binary classical
IQP Embedding
e^{iφ(x)Z}
Kernel methods
ZZ Feature Map
exp(i·ZZ·xᵢxⱼ)
Entangled features
Pauli Expansion
∏ e^{θPₖ}
High expressibility
05
3D Quantum Circuit Builder
Circuits in
three
dimensions.
Extend standard 2D circuit notation into a full 3D environment. Explore entanglement topology, visualise multi-qubit gate correlations spatially, and animate time-evolution across the full Hilbert space structure.
Spatial Entanglement View
See qubit coupling as geometric edges in 3D space
Time-Slice Animation
Scrub through circuit execution frame by frame
Hilbert Space Projection
Project 2ⁿ-dim state onto navigable 3D manifold
VR/AR Export
Export to WebXR for immersive lab demonstrations
07
Quantum AI & Decoder
End-to-end
quantum–classical
intelligence.
The Quantum AI module closes the classical–quantum loop: encode data, execute variational circuits, decode measurement statistics back to actionable classical predictions using trainable classical post-processing.
VQC Classifier
Variational Quantum Classifier with PCA pre-compression and softmax decoder for multi-class problems.
QAOA Optimiser
Quantum Approximate Optimisation Algorithm for combinatorial problems: TSP, graph colouring, portfolio optimisation.
QML Regressor
Quantum kernel regression with feature map selection, hyperparameter tuning, and cross-validation support.
Quantum Autoencoder
Compress quantum states into latent registers; reconstruct with fidelity monitoring for anomaly detection.
Quantum GAN
Generative adversarial networks with a quantum generator trained via SPSA gradient estimation.
Hybrid Decoder
Classical neural post-processor trained end-to-end with parameterised quantum layers as differentiable modules.
08
Future Hardware Integration
From simulation
to real hardware.
The platform is architected as a hardware-agnostic abstraction layer. As quantum hardware matures, your circuits compile directly to physical implementations without code changes.
FPGA Emulation
High-speed FPGA deployment for quantum circuit emulation at nanosecond gate times. Compatible with Xilinx Ultrascale+ and Intel Agilex families.
Photonic Chips
Integrated photonic waveguide circuits with programmable beam splitters and phase modulators. Room-temperature operation, telecom-wavelength photons.
Optical Control
Acousto-optic and electro-optic modulator control interfaces. Generate arbitrary optical pulse shapes for qubit gate operations with femtosecond precision.
Single-Photon Detectors
SNSPD and SPAD detector integration with sub-100ps timing jitter. Direct interface to measurement modules for high-fidelity photon counting.
Hardware Roadmap
Q3 2025
FPGA Beta
Q1 2026
Photonic SDK
Q3 2026
Cloud QPU
2027
Full Stack
09
University Applications
Built for
academic
rigour.
Designed with faculty input from leading UK and international institutions. Deployable as a teaching tool, a research workbench, or an examination platform — all from the same install.
⚛
Physics
Schrödinger equation solver
Spin-½ systems
Bell state generation
Quantum optics lab
PHYS301 · PHYS402
∑
Mathematics
Hilbert space explorer
Spectral decomposition
Quantum group theory
Random matrix models
MATH350 · MATH480
</>
Computer Science
Algorithm complexity
Grover / Shor demos
Quantum compilation
Noise & error codes
CS410 · CS520
◈
Quantum Engineering
Qubit fabrication models
Control pulse design
Hardware benchmarking
Cryogenic stack sim
QE301 · QE490
ONE TECH & AI
Quantum Computing Division
Begin your quantum
journey today.
Schedule a demo, request a university licence, or explore collaboration opportunities with our research partnerships team.
info@onetechandai.com
Phone
+44 (0)7772 198009
Website
www.onetechandai.com
Address
85 Great Portland Street, First Floor London W1W 7LT, United Kingdom
© 2026 ONE TECH AND AI LTD. ALL RIGHTS RESERVED.