QuantumLogics
An open-source simulation stack for quantum-inspired algorithms. Through Python modules it simulates quantum-inspired workloads such as combinatorial optimization, post-quantum cryptography, tensor-network AI, and molecular simulation on classical CPUs, and provides a unified FastAPI service layer.
Timeline (last 90 days)
QuantumLogics is an open-source quantum-inspired algorithm simulation stack that routes workloads such as combinatorial optimization, post-quantum cryptography, tensor-network AI, and molecular simulation to ordinary CPUs through Python modules, and provides a unified FastAPI eight-pillar API.
QuantumLogics is a research prototype, not a quantum computer.
The QuantumLogics repository contains 37 files, ten modules, each module being a focused Python file, plus a Rust crate and a FastAPI service layer.
vq-logics-opt/bsb_solver.py implements ballistic simulated bifurcation (bSB), a classical algorithm inspired by quantum adiabatic evolution, which outperforms standard greedy heuristics on Max-Cut and QUBO problems.
vq-logics-crypto/lwe_crypto.py implements an LWE key generation/encryption demo using parameters n=256, q=3329, which is educational-scale rather than a standardized implementation.
vq-logics-api/main.py wraps each module in a FastAPI application (UQEOS 8-Pillar API, v3.0.0), containing eight typed endpoints.
The eight API endpoints include: /api/v1/opt/maxcut, /api/v1/crypto/generate_keys, /api/v1/ai/infer, /api/v1/chem/simulate, /api/v1/sim/dmrg, /api/v1/fin/montecarlo, /api/v1/geo/route, /api/v1/sys/emulate_qec.
These modules are compact proof-of-concept implementations (each a few hundred bytes to about 2KB), research-level rather than library-level.
All QuantumLogics computations run on CPU using PyTorch, with no need for GPU clusters.
All Facts (9)
QuantumLogics is an open-source quantum-inspired algorithm simulation stack that routes workloads such as combinatorial optimization, post-quantum cryptography, tensor-network AI, and molecular simulation to ordinary CPUs through Python modules, and provides a unified FastAPI eight-pillar API.
50%UnverifiedQuantumLogics is a research prototype, not a quantum computer.
50%UnverifiedThe QuantumLogics repository contains 37 files, ten modules, each module being a focused Python file, plus a Rust crate and a FastAPI service layer.
50%Unverifiedvq-logics-opt/bsb_solver.py implements ballistic simulated bifurcation (bSB), a classical algorithm inspired by quantum adiabatic evolution, which outperforms standard greedy heuristics on Max-Cut and QUBO problems.
50%Unverifiedvq-logics-crypto/lwe_crypto.py implements an LWE key generation/encryption demo using parameters n=256, q=3329, which is educational-scale rather than a standardized implementation.
50%Unverifiedvq-logics-api/main.py wraps each module in a FastAPI application (UQEOS 8-Pillar API, v3.0.0), containing eight typed endpoints.
50%UnverifiedThe eight API endpoints include: /api/v1/opt/maxcut, /api/v1/crypto/generate_keys, /api/v1/ai/infer, /api/v1/chem/simulate, /api/v1/sim/dmrg, /api/v1/fin/montecarlo, /api/v1/geo/route, /api/v1/sys/emulate_qec.
50%UnverifiedThese modules are compact proof-of-concept implementations (each a few hundred bytes to about 2KB), research-level rather than library-level.
50%UnverifiedAll QuantumLogics computations run on CPU using PyTorch, with no need for GPU clusters.
50%