Sample QASM Files
Looking to try some circuits but don't have time to write them yourself? Grab one of these and give it a shot. Each file is small enough to run on today's quantum computers.
QASMBench
QASMBench is a peer-reviewed benchmark suite created by Pacific Northwest National Laboratory (PNNL), one of the U.S. Department of Energy’s premier research institutions. The suite contains hundreds of quantum circuits spanning chemistry, optimization, machine learning, and cryptography — organized by qubit count so you can find circuits that match your target hardware. We’ve selected a handful of small circuits from the pnnl/QASMBench repository that are ideal for getting started.
Li, A. et al. “QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation.” ACM TQCI, 2023. Licensed under BSD 3-Clause.
Deutsch's Algorithm
deutsch_n2.qasm
The simplest quantum algorithm ever devised. Determines whether a function is constant or balanced with a single query — the original proof that quantum computers can outperform classical ones.
Cat State (GHZ) Preparation
cat_state_n4.qasm
Creates the maximally entangled "cat state" (|0000⟩ + |1111⟩)/√2 using just one Hadamard and a chain of CNOTs. A clean, minimal demonstration of multi-qubit entanglement.
Grover's Search
grover_n2.qasm
Finds a marked item in an unsorted database of 4 elements with a single query. Demonstrates the quadratic speedup that makes quantum search powerful at scale.
Quantum Teleportation
teleportation_n3.qasm
Another implementation of quantum teleportation — transfers a quantum state across qubits using a shared Bell pair and classical communication.
Bell State Preparation
bell_n4.qasm
Prepares entangled Bell pairs across 4 qubits. Bell states are the simplest examples of quantum entanglement and form the basis for teleportation and superdense coding.
Simon's Algorithm
simon_n6.qasm
Finds a hidden period in a black-box function exponentially faster than any classical algorithm. This idea directly inspired Shor's factoring algorithm.
QAOA
qaoa_n3.qasm
A hybrid quantum-classical approach to solving combinatorial optimization problems. Alternates between problem-specific and mixing layers to approximate optimal solutions.
Quantum Fourier Transform
qft_n4.qasm
Transforms computational basis states into frequency basis using Hadamard and controlled-phase rotation gates. Fundamental to quantum phase estimation and factoring.