Quantum · Classical · Visual · DSL

SANSQRIT

A hybrid quantum-classical visual programming environment. 639 drag-and-drop blocks. Rust/WASM engine. Sanskrit DSL. Sparse and sharded workflows for serious local experiments.

Start Learning Get the Code

639

Visual Blocks

Quantum Computing
for Scientists,
Not Physicists

⚛

VISUAL CANVAS

Drag-and-drop 639 blocks across Quantum, Chemistry, Drug Discovery, Biology, Physics, ML, and more. Connect with wires. Run instantly.

⚡

RUST ENGINE

Core quantum simulation written in Rust, compiled to WebAssembly. 15-30× faster than pure JavaScript. Zero GC pauses during VQE loops.

⟨ψ⟩

SANSKRIT DSL

A clean Python-like DSL designed for quantum programs. All gates, algorithms, statistics, and ML available as first-class functions.

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VQE & CHEMISTRY

Run VQE on H₂, LiH, BeH₂, H₂O. Pre-computed Hamiltonians. Chemical accuracy. Dissociation curves. Orbital analysis.

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10 EXPORT FORMATS

Export to QASM2/3, IBM JSON, IonQ JSON, Google Cirq, Amazon Braket, Rigetti Quil, QIR, SVG, and native Sanskrit JSON.

✓

71 TESTS PASS

39 core tests + 32 advanced DSL tests. 12 Rust physics unit tests. Bell state, Grover, QFT, VQE, cross-shard gates all verified.

The Language

Clean.
Readable.
Quantum-Native.

Sanskrit DSL feels like Python but speaks quantum. Variables, loops, functions, f-strings — everything you know — plus qubits(), H(), CNOT(), measure_all(), vqe() as primitives.

Language Reference See Examples

-- Bell State: quantum entanglement
let q = qubits(2)
H(q[0])
CNOT(q[0], q[1])
let r = measure_all(q, shots=1000)
print(r.histogram)
-- {"00": 503, "11": 497}

-- VQE hydrogen molecule
molecule H2 {
  atoms: [H, H],
  bond_length: 0.74,
  basis_set: "STO-3G"
}
let result = vqe(H2, ansatz="UCCSD")
print(f"Energy: {result.energy:.6f} Ha")
-- Energy: -1.136891 Ha

-- Grover search: find item 7 in 16
let found = grover(4, [7], 2000)
print(found.histogram)
-- {"0111": 1916, ...}

Learning path · core concepts

Start with the quantum foundations

This section now keeps the beginner learning tracks separate from the Python package and advanced runtime material, so the home page has more breathing room and the cards do not feel cramped.

ARCHITECTURE

3-tier engine, dense and sparse math, lookup acceleration, sharding, runtime flow, and clear diagrams for new readers.

DSL SYNTAX

Complete language reference: variables, loops, functions, quantum registers, gates, measurements, and examples.

46 GATES

Every quantum gate with matrices, parameters, visual intuition, and practical snippets for circuits.

19 ALGORITHMS

Grover, Shor, VQE, QAOA, QPE, HHL, Simon, Deutsch-Jozsa, BB84 QKD, and more.

17 CIRCUITS

W state, Dicke state, QFT adder, QEC circuits, UCCSD ansatz, and reusable circuit patterns.

220+ PROGRAMS

Runnable examples across basics, chemistry, biology, physics, genetics, ML, and large logical circuits.

Python package · advanced labs

Move into SansqritPy, sharding, install and community

Advanced readers can jump directly into pip installation, the SansqritPy wheel documentation, 120+ logical-qubit examples, sharded simulation, and community resources.

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SansqritPy Package

Python package docs, auto backend planner, sparse sharding, hierarchical tensor shards, QEC, hardware export, lookup files, and AI datasets.

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820 Python DSL Examples

Complete Sansqrit program corpus including 120+ logical-qubit scenarios, hardware export, QEC, distributed workflows, and datasets.

SHARDING

How 10-qubit sharding, distributed cluster execution, sparse maps, and bridge operations work at the bit level.

WHY SANSQRIT

Memory efficiency, developer ergonomics, scientific use cases, cryptography, chemistry, finance, and ML.

INSTALL

Step-by-step setup for pip, Python virtual environments, package verification, examples, and local docs.

COMMUNITY

GitHub, Medium, Reddit, Twitter/X, Facebook, Discord — connect with learners, developers, and researchers.

Quantum Computingfor Scientists,Not Physicists

Clean.Readable.Quantum-Native.