— AI Quantum Intelligence

One orchestration layer.

Every compute path.

Quantum ready.

EvaQuantum, the quantum division of Eva Live Inc., builds AI systems for quantum research, autonomous software engineering, hybrid optimization, and heterogeneous compute scheduling — CPU, GPU, NPU, and quantum, routed by one intelligence layer.

Full spec sheet available on request.

AI

research agents for science

HPC

hybrid optimization on GPUs

Code

autonomous quantum generation

Route

CPU, GPU, NPU, quantum

AI software first. Quantum hardware partnerships as the ecosystem matures.

We build the research agents, developer tools, and compiler intelligence — instead of a fabrication facility.

— Platform

Four systems. One intelligence layer.

EvaQuantum focuses on the software and intelligence layer instead of fabrication: research agents, developer tools, circuit optimization, and heterogeneous compute orchestration.

01 Research Agents

Read papers, propose experiments, generate notebooks, and maintain persistent context across quantum programs.

02 Quantum DevOps

Generate, test, benchmark, and migrate quantum code across Qiskit, Cirq, PennyLane, CUDA-Q, and custom stacks.

03 Hybrid Optimizer

Combine neural heuristics, GPUs, HPC simulation, and approximate solvers with quantum routines when useful.

04 Provider Routing

Prepare workloads for placement across classical infrastructure, accelerators, and quantum hardware providers.

— QuantumOS

A command center for research programs and quantum routing.

Simulator fleets, hybrid jobs, and provider routing — watched, benchmarked, and steered from a single console.

Hybrid workloadGPU simulation active

Quantum routeunder review

Circuit depthoptimized · 42 → 19

Compiler passnoise-aware · running

Placement confidence · 62%

— Quantum AI

From research question to working quantum software.

Domain-specific AI systems that move teams from a hypothesis or optimization goal into executable experiments and production-ready code.

01 Algorithm discovery

Explore candidate quantum routines and compare them against classical and approximate approaches.

02 Circuit optimization

Refactor circuits for depth, noise, device constraints, cost, and hardware-specific performance.

03 Compiler intelligence

Build AI-assisted compiler and control workflows for noisy and emerging hardware platforms.

— Intelligent Scheduler

An AI that learns when a problem should run classically, approximately, or quantum.

An adaptive memory system that composes workflows automatically — choosing CPU, GPU, NPU, or quantum paths based on cost, accuracy, availability, and learned outcomes.

— Roadmap

Designed to create value before fault-tolerant quantum is widely available.

Phase 1

In progress

Foundation

A domain-specific AI platform for quantum research and software engineering, with autonomous code generation and GPU-based hybrid optimization.

Phase 2

Expansion

AI-driven quantum circuit optimization, compiler technology, and quantum control software through hardware vendor partnerships.

Phase 3

Planned

Orchestration

The orchestration layer across CPUs, GPUs, NPUs, and quantum processors, with automated calibration and workload placement.

Strategic Layer

Vision

Adaptive Memory

External memory and adaptive AI that learns which computational path works best for each class of problem.

— Partnership Strategy

Built for teams that need intelligent compute decisions and quantum-ready software.

We collaborate with quantum hardware providers, HPC teams, and enterprises building quantum advantage.

— Partnerships

Start a quantum intelligence conversation.

For quantum software, research AI, hybrid optimization, hardware partnerships, and strategic investment opportunities — tell us where you’d like to start.