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QUBASIC

Quantum computing in a BASIC interpreter.

] 10 H 0
] 20 CX 0, 1
] 30 MEASURE
] RUN

RAN 3 lines, 2 qubits, 1024 shots in 0.02s  [depth=3, gates=4, method=stabilizer, CNOT=1]
  bit order  q1 q0   (qubit 0 = rightmost)

 State  Count       %  Distribution
  |11⟩    521   50.9%  ███████████████████████████████████
  |00⟩    503   49.1%  █████████████████████████████████

QUBASIC is a BASIC interpreter whose programs build and run quantum circuits. The language is QBASIC's: typed variables, records, arrays with bounds, SUB and FUNCTION, labels, SELECT CASE, PRINT USING, sequential, random and binary files, graphics on QBASIC's SCREEN modes, PLAY and SOUND, timer, key and music event traps and error trapping, so QBASIC programs run unchanged, with the graphics screen drawn in the terminal and sound played through the speaker. Gates are statements (H 0, CX 0, 1), measurements feed back into the program, and RUN simulates the result on Qiskit Aer or on QUBASIC's own engines. Around that sit noise models and error mitigation, quantum algorithms, error-correcting codes with circuit-level noise, and analysis, benchmarking and visualization commands. It runs as an interactive REPL, as a script interpreter, as a Python library, as a Jupyter kernel and as a browser REPL.

Documentation: tutorial (from a first circuit to error correction, every example tested), reference (every command, statement, function and gate, generated from the code), and Development below for how the interpreter is built. At the prompt, HELP lists the commands and HELP <name> describes one.

Install

pip install qubasic

Requires Python 3.10 or newer; Qiskit, Qiskit Aer, NumPy, SciPy and rustworkx come with it. Optional extras: qubasic[qec] (stim and pymatching, for the STIM and MWPM paths of the error-correction commands), qubasic[jupyter] (the notebook kernel), qubasic[qasm3] (OpenQASM 3 import) and qubasic[charts] (sweep charts). For development, pip install -e ".[charts]".

Running it

qubasic                       interactive REPL
qubasic program.qb            run a QUBASIC script (numbered lines plus commands)
qubasic program.bas           run QBASIC source; unnumbered lines are numbered as loaded
qubasic --quiet program.qb    results only, no banner
qubasic --json program.qb     the result as JSON (counts, variables, state, method)
qubasic --seed 7 program.qb   reproducible sampling
qubasic --spec                a JSON description of every command, statement and function
qubasic --web [port]          browser REPL on localhost, token-gated
qubasic --install-kernel      install the Jupyter kernelspec (then pick "QUBASIC")
python -m qubasic_core        the same without the console script

From Python, run executes a program and returns its result, and a Session keeps one interpreter across calls:

from qubasic_core import Session, run

result = run('''
10 H 0
20 CX 0, 1
30 MEASURE
''', qubits=2, shots=1000, seed=7)
result['counts']      # {'00': 503, '11': 497}
result['output']      # what the program printed
result['errors']      # the ?... lines, if any

s = Session(qubits=1, seed=3)
s.execute('10 RY theta, 0')
s.execute('20 SAVE_EXPECT Z 0 -> z')
s.execute('theta = 0.5')
s.run()['variables']['z']     # cos(0.5)

run and Session take qubits, shots, seed, method, precision, noise (a NOISE specification) and inputs (answers for INPUT). Source with no numbered line is read as QBASIC source.

The language

Numbered lines form the program; anything else runs at once (gates typed at the prompt act on a fresh |0…0⟩ and show the state they make). LIST, EDIT, DELETE, RENUM (which rewrites every line reference), UNDO, SAVE and LOAD manage it, and LOAD reads .bas files as QBASIC source.

10 TYPE Planet
20   name AS STRING * 8
30   moons AS INTEGER
40 END TYPE
50 DIM p(1 TO 3) AS Planet
60 FOR i = 1 TO 3: READ p(i).name, p(i).moons: NEXT i
70 FOR i = 1 TO 3
80   PRINT USING "\      \ ##"; p(i).name; p(i).moons
90 NEXT i
100 DATA Earth, 1, Mars, 2, Jupiter, 95

The dialect follows QBASIC: % & ! # $ suffixes, DEFINT-style letter ranges and DIM ... AS, with OVERFLOW and TYPE MISMATCH errors on assignment; records (nested up to 16 deep), fixed-length strings, arrays with lower bounds and LBOUND/UBOUND; SUB and FUNCTION with local variables, STATIC, SHARED, by-reference arguments and typed or whole-array parameters; labels as jump targets; block IF/ELSEIF, SELECT CASE, DO/LOOP, WHILE/WEND, FOR with QBASIC's zero-trip rule; ON ERROR GOTO and RESUME with QBASIC's error codes; INPUT and LINE INPUT, PRINT USING with the full field set, and the string, math and conversion functions. An unassigned variable reads as 0 inside a program. Expressions are parsed with QBASIC precedence and evaluated without Python's eval.

Files: OPEN for INPUT, OUTPUT, APPEND, RANDOM and BINARY, with PRINT #, WRITE #, INPUT #, LINE INPUT #, FIELD, LSET/RSET, GET #/PUT # of records, SEEK, LOF, LOC, EOF, INPUT$, MKI$/CVI and their relatives, and KILL, NAME, MKDIR, RMDIR, CHDIR and FILES.

Graphics: SCREEN 1, 2 and 7 to 13 open QBASIC's graphics modes, with PSET, LINE (boxes, styles), CIRCLE (arcs, ellipses), PAINT, DRAW, VIEW, WINDOW, PALETTE, GET/PUT of images, POINT and PMAP, and PRINT, LOCATE, COLOR, CLS and INPUT put text on the screen in QBASIC's character cells (40 or 80 columns, 25 or 30 rows, scrolling at the bottom). The picture is drawn in the terminal in colour cells, or as shading off a terminal. At a terminal it is redrawn in place while the program runs, from the first SLEEP, INKEY$, GET or INPUT or after half a second, so animations and games show as they run; otherwise it appears when the program ends. SHOW redraws it and SAVEPNG file.png SCREEN saves it. At an interactive terminal a program runs until it ends or Ctrl+C stops it; off a terminal and in agent mode a run stops after 100,000 statements (POKE $D006 changes the limit), and a circuit build stops at a million instructions everywhere.

Sound: PLAY takes QBASIC's music macro language and SOUND a frequency and duration. At an interactive terminal they play through the speaker, foreground music holding the program until it ends and MB music queueing in the background, as in QBASIC; AUDIO OFF keeps them silent, and SAVEWAV file.wav writes everything played. Events: ON TIMER(n), ON KEY(n) (F1 to F12, the arrow keys and keys a program defines with KEY 15-25), ON PLAY(n) (the background music queue running low) and ON MEASURE call their handlers with GOSUB, each armed, disarmed or held by TIMER, KEY(n) or PLAY with ON, OFF or STOP; INKEY$ reads a key without a character as CHR$(0) and its scan code.

The PC underneath: after DEF SEG = &HA000, PEEK and POKE reach SCREEN 13's pixels, and after DEF SEG = &HB800 the text screen's characters and colours; BSAVE and BLOAD save and load those bytes; OUT and INP drive the VGA palette ports (&H3C7 to &H3C9) and read the vertical retrace at &H3DA, which WAIT &H3DA, 8 paces animation by at 70 Hz. RUN and CLEAR inside a program, CSRLIN, SCREEN(row, col), VIEW PRINT, FILEATTR, LPOS, ENVIRON$, SHELL (off in agent mode) and the Microsoft Binary Format conversions behave as in QBASIC, while CALL ABSOLUTE and VARPTR report that there is no machine code or memory address to reach. Without DEF SEG, PEEK and POKE address QUBASIC's own memory map (below).

Quantum programs

Gates
one qubit H X Y Z S T SDG TDG SX SXDG ID
one qubit, angles RX RY RZ P (one angle), U (three)
two qubits CX CZ CY CH SWAP DCX ISWAP ECR CS CSDG CSX, CRX CRY CRZ CP RXX RYY RZZ RZX (one angle)
three qubits CCX CSWAP CCZ

Angles come first: RX PI/4, 0, CRZ theta, 0, 1. CTRL and INV modify any gate, UNITARY NAME = [[...]] defines one from a matrix, DEF NAME = gates defines a macro, and QFT, IQFT, DIFFUSE, MCX, MCZ, MCP, QADD, QPE, GRAPHSTATE, FEATUREMAP and EVOLVE (Trotterized time evolution) are statements that expand into gates. Bitstrings put qubit 0 on the right, as Qiskit does; OPTION ENDIAN BIG reverses every displayed bitstring.

MEASURE measures every qubit (or a list) into the histogram. MEAS q -> bit measures in the middle of the program: an IF on the bit that applies gates compiles to a dynamic circuit, and a program that uses a measured bit any other way (prints it, computes with it, loops on it) runs live, one shot at a time, with every statement seeing the real outcome:

10 H 0
20 MEAS 0 -> m
30 IF m = 0 THEN RESET 0: GOTO 10     ' repeat until the qubit reads 1
40 MEASURE

SAVE_EXPECT, SAVE_PROBS and SAVE_AMPS record values into variables when RUN finishes; STATE, PROBS, BLOCH, DENSITY, CIRCUIT, EXPECT, ENTROPY, FIDELITY and HEATMAP inspect the last state; STEP runs a program a line at a time and REWIND/FORWARD move through the states it passed.

Simulation

METHOD automatic (the default) runs noiseless Clifford circuits (ECR, SXDG and RZ at multiples of π/2 included) on the stabilizer simulator at any width, other circuits on a statevector while one fits in the memory available (at double precision, then single), and wider ones as matrix product states; the summary line names the method used. METHOD also selects statevector, density_matrix, stabilizer, matrix_product_state, extended_stabilizer, unitary or superop, and PRECISION SINGLE halves statevector memory. Each run is sized against the memory free at that moment, and one that cannot fit is refused with what it needs and what to change; RAM reports what fits. QUBASIC_MEMORY_LIMIT=4GB caps what QUBASIC treats as available. COUPLING, BASIS and DEVICE constrain transpilation to a hardware topology and native gates.

A live run holds a statevector per shot while one fits. Past that, or under METHOD stabilizer, each shot holds a stabilizer tableau (Aaronson and Gottesman's, bit-packed), so a Clifford program that loops and branches on its measurements runs at hundreds or thousands of qubits: 500 qubits take about 50 ms a shot. Pauli noise channels, NOISE depolarizing and phase_flip among them, run on the tableau as sampled Paulis; SAVE_EXPECT and SAVE_PROBS read it exactly; STATE lists the stabilizer generators of the first shot and BLOCH reads one qubit from them. A non-Clifford gate, a non-Pauli channel or SAVE_AMPS stops such a run with the reason it holds a tableau.

Noise and error mitigation

NOISE depolarizing 0.001 0.01; readout 0.02 0.03     channels joined with ;
NOISE thermal 50e-6 70e-6 50e-9                       T1, T2 and gate time
NOISE ADD amplitude_damping 0.01                      extend the active model
NOISE lindblad X 0.001 ZZ 0.0005                      Pauli-Lindblad generators and rates
MITIGATE READOUT ON                                   invert readout error on every RUN
ZNE 1.0 ZZ 0 1 SCALES 1 3 5 FIT EXP                   zero-noise extrapolation

MITIGATE READOUT calibrates each qubit's flip probabilities and shows every following histogram with them inverted. ZNE measures an observable with the gate noise amplified by folding and extrapolates to zero noise with a linear, quadratic, Richardson or exponential fit, printing the noiseless value beside it.

Algorithms

GROVER, SIMON, DJ (Deutsch-Jozsa), BV (Bernstein-Vazirani), QPE (energy of a Hamiltonian by phase estimation), QCOUNT (quantum counting), IQPE, AMPEST (maximum-likelihood amplitude estimation), SHOR (Beauregard's circuit for N < 256), HHL (any size), QAOA (MaxCut graphs or a diagonal Hamiltonian), VQE (with EXCITED k for excited states), QWALK and QKERNEL. MINIMIZE and GRADIENT optimize a program's own parameters (Nelder-Mead, SPSA or parameter-shift gradient descent), compiling the circuit once with bound parameters when the program allows. HAMILTONIAN H = MOLECULE LIH FREEZE builds a molecule's qubit Hamiltonian with no chemistry package: STO-3G integrals over s and p Gaussians (McMurchie-Davidson), restricted Hartree-Fock, a frozen core or ACTIVE space, and the Jordan-Wigner transform, for H2, HeH+, LiH, BeH2, H2O, NH3, N2 and H4 by name or any geometry of atoms from H to Ne, reporting the Hartree-Fock and exact energies. VQE H ANSATZ UCCSD then runs unitary coupled cluster from the Hartree-Fock state and PROGRAM writes its circuit. ISING, HEISENBERG, HUBBARD and RYDBERG build model Hamiltonians; LINDBLAD evolves open systems. Benchmarks: RB, RBINT, XEB, QVOLUME, MIRROR, GST, TOMOGRAPHY and PTOMOGRAPHY.

Error correction

QEC SURFACE 5                                        a code and its stabilizers
LOGICAL_ERROR_RATE SURFACE 7 0.05 MATCH              code capacity, matching decoder
LOGICAL_ERROR_RATE SURFACE 5 0.002 CIRCUIT           circuit-level noise
LOGICAL_ERROR_RATE BB 0.01                           bivariate-bicycle code, BP+OSD
THRESHOLD SURFACE 0.002 0.012 5 CIRCUIT              threshold from crossing curves
LQUBITS 2 CODE STEANE PHYS 0.001                     run the program encoded
LATTICE CNOT 0 1                                     lattice-surgery CNOT

Codes: repetition, Steane, Shor, rotated surface and bivariate-bicycle qLDPC. Decoders: minimum-weight lookup, exact minimum-weight matching, union-find (Delfosse and Nickerson, weighted on space-time graphs), pymatching and BP+OSD. PHENOM adds measurement errors over d rounds, and CIRCUIT makes every gate, measurement and reset of the syndrome circuit noisy, building the detector error model itself (CIRCUIT STIM uses stim instead). LQUBITS runs a program on logical qubits, simulated encoded or on a modeled logical channel, and DISTILL and RESOURCES estimate magic-state distillation and fault-tolerant costs.

More models

LOCC 4 4 splits the machine into registers that share only classical bits (SEND) or Bell pairs (SHARE, in LOCC JOINT). QUDIT simulates d-level systems and BOSONIC Fock-space modes with displacement, squeezing, cat states and beamsplitters. A memory map (PEEK, POKE, SYS, MAP, MONITOR) exposes qubit state, simulator settings and per-qubit noise as addresses.

Development

python -m pytest tests/                     the test suite
ruff check qubasic_core tests tools         lint
mypy qubasic_core                           types (strict)
python tools/generate.py                    regenerate host.py's stubs and docs/reference.md

The interpreter is one object, QBasicTerminal (terminal.py), assembled from a state container and 59 mixins, one per concern, in six layers. Its state is the program, its variables and the run settings, plus one state object per concern, each a dataclass beside the mixin that owns it: files, screen (the text screen), graphics, sound, events (event traps), errors (ON ERROR), debug, data (DATA and READ), procs (SUB and FUNCTION), symbols (declarations and types), editor, noise, aer (Aer's tuning options), machine (the memory map and profiler), qudit and bosons. A module imports only from its own layer or the layers below it, and the same holds for calls through self: each layer has a host class in host.py declaring what its mixins may use, the attributes and methods of its own layer and the ones below, and each mixin derives from its layer's host, so mypy rejects a call into a higher layer. The few places where a lower layer must reach up, such as LOAD entering lines as if typed or PEEK reading the memory map, are hooks: a method declared with a docstring at the lowest layer that calls it and implemented only above it. RUN is a presentation command: the simulation layer opens and runs the program and returns a RunReport saying what is left to show (the histogram, a note, DISPLAY's view, the logical-qubit trailer), and the RUN command shows it. tools/generate.py writes the method stubs and places each attribute at the lowest layer that uses it.

Layer Modules
core host (the layer table and hosts), engine (limits, result codes, errors, the I/O protocol, output and path services)
language parser (statement parser, compiler, catalog), expression (expressions, variables, formatting), interpreter (control flow, procedures, statements), devices (graphics, sound, screen, files), editing
simulation simtools (capacity, the numpy statevector and stabilizer engines, backends), circuits (circuit build, quantum statements), simulator (results and how they print, RUN, live runs), noise, locc, physics (dynamics, chemistry, qudits, bosonic modes), machine (settings, memory map, profiler, demos)
applications algorithms, benchmarking, qec (codes, decoders, circuit-level noise), logical (logical qubits, lattice surgery)
presentation display, analysis
composition terminal, api, cli (with the browser REPL), jupyter_kernel

process(line) stores a numbered line, parsing it once into a typed statement, and passes anything else to dispatch, which calls the matching cmd_* method or runs the line as an immediate statement. RUN compiles the program, resolving labels and matching blocks, and reports a missing target or an unmatched block before anything runs. It then executes the program as a Qiskit circuit on the Aer method the memory allows, live and shot by shot on the numpy engine when the program reads a measured bit, as LOCC registers, or encoded on logical qubits.

A command is a method cmd_<name>(self, rest) on the mixin of its concern whose docstring opens with its syntax, registered in _CMD_WITH_ARG or _CMD_NO_ARG (terminal.py) and placed under a topic in COMMAND_TOPICS (parser.py), after which tools/generate.py declares it in its layer's host and lists it in the reference. A statement is a handler in its layer's table (_LANGUAGE_STATEMENTS in interpreter.py, _QUANTUM_STATEMENTS in circuits.py, _CIRCUIT_STATEMENTS in algorithms.py), which the terminal merges into _STMT_KEYWORDS, with its line in the catalog's STATEMENTS. tests/test_project.py checks the layering of imports and of calls, the hooks, the stubs, the docstrings, the catalog's coverage of every dispatched keyword and the generated reference. Continuous integration runs the suite on Python 3.10 to 3.13 across Linux, Windows and macOS with coverage, the lint and type checks, tools/generate.py --check, and a build of the wheel that installs it and runs a program.

License

MIT

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