qhronology 1.0.0

A Python package for resolving quantum time-travel paradoxes and performing general quantum information processing & computation

Qhronology

Qhronology is a Python package for computing the states of the chronology-respecting (CR) and chronology-violating (CV) quantum systems according to the foremost quantum theories of time travel. It also functions as a (mostly) complete quantum circuit simulator, and contains an engine for the basic visualization of quantum circuit diagrams. Its main features include:

• temporal paradox resolution using quantum-mechanical prescriptions of time travel

  • Deutsch's model (D-CTCs)
  • postselected teleportation (P-CTCs)

• general quantum computation and information processing

  • algebraic, symbolic calculations
  • (classical) simulation of quantum experiments (limited by the finite precision of floating-point arithmetic)

• quantum circuit visualization

  • text-based semigraphical diagrams constructed using glyphs from monospace fonts (support for both ASCII and Unicode)

The primary purpose of Qhronology is to facilitate the study of quantum theories of time travel in both educational and research capacities. In addition to this, the package also functions as a quantum circuit simulator, allowing for comprehensive analysis of the general quantum operations of quantum information processing and computation. Qhronology's underlying mathematical system accomplishes this using the standard $d$-dimensional matrix mechanics of discrete-variable quantum theory in a general $\mathbb{C}^d$-representation.

The package provides a sufficiently complete and self-contained set of tools with the intention that performing transformations on quantum constructs and data with external packages and libraries need not be necessary (in most cases). Qhronology aims to make the expression of quantum states, gates, circuits, and time-travel prescriptions near-limitlessly possible with a framework that is syntactically simple, informationally dense, programmatically intuitive, mathematically powerful, extremely flexible, and easily extensible.

In addition to functionality provided by Python's standard library, Qhronology is built around features from both the canonical SymPy (repository) and NumPy (repository) projects. In particular, the package greatly leverages the symbolic and linear algebra capabilities of the former, and so aims to have a deep compatibility with SymPy and its matrix objects. It is hoped that users possessing experience with these projects should therefore find Qhronology's interface both familiar and intuitive.

[!NOTE] Qhronology in its current form is considered to be highly experimental. Its output may be incorrect, and some features may not work as intended. Additionally, please note that its functionality, including any and all functions, classes, methods, and modules, may be subject to change in future versions.

Features

Quantum computing simulations

Designed to provide a powerful set of features with a simple and intuitive syntax, Qhronology facilitates the simulation of quantum computation, information processing, and algebraic calculations.

Quantum resolutions to antichronological time-travel paradoxes

The fundamental indeterminism of quantum mechanics can be leveraged to provide resolutions to quantum formulations of classic time-travel paradoxes (such as the infamous grandfather paradox). A select few prescriptions by which this may be achieved, including Deutsch's model (D-CTCs) and the postselected teleportation prescription (P-CTCs), are implemented both as bare functions and class methods.

Quantum circuit visualization

Quantum circuit diagrams provide a powerful picturalism through which any quantum process can be visualized as a network of quantum logic gates connected by wires. Qhronology provides this functionality for any quantum process constructed using its built-in classes.

Numerous examples

Bundled with the project is a small collection of complete examples that showcase its capabilities and syntax. These are divided into two categories: Quantum algorithms and protocols and Quantum closed timelike curves. The former contains implementations of canonical algorithms in quantum computing, while the latter consists of more exotic circuits that use quantum mechanics to resolve paradoxical scenarios of antichronological time travel.

Extensive documentation

All of the functions, classes, and methods in each of the various submodules have been rigorously detailed in their respective sections within the documentation. This includes multiple examples of usage for each, aiding the user's understanding of every available feature.

Foundational theory

All of the underlying mathematics upon which Qhronology is built is presented as a series of pedagogical reference articles within the documentation. This includes sections on the mathematical foundations of quantum mechanics (Hilbert spaces, linear operators, composite systems, etc.), quantum theory on both discrete and continuous Hilbert spaces, a brief overview of the quantum circuitry picturalism, and physical theories of time travel (both classical and quantum).

The aim of this theory is to serve as a comprehensive and complete reference for basic quantum mechanics and physical theories of time travel, thereby enabling the keen user to embark upon further research into these fascinating areas of study.

Package installation and structure

Local installation of Qhronology from PyPI can be accomplished using pip (website, repository) via your operating system's command line, e.g.,

$ pip install qhronology

You may also be able to use an alternative package manager of your choice.

After installation, the package can simply be imported in Python in the usual way. One suggestion is as follows:

import qhronology as qy

The package has the following directory structure:

qhronology
├──quantum
│  ├──circuits.py
│  ├──gates.py
│  ├──prescriptions.py
│  └──states.py
├──mechanics
│  ├──matrices.py
│  ├──operations.py
│  └──quantities.py
└──utilities (intended for internal use only)
  ├──classification.py
  ├──diagrams.py
  ├──helpers.py
  ├──objects.py
  └──symbolics.py

Requirements

Within the package and documentation, SymPy and NumPy are imported in their conventional manners:

import sympy as sp
import numpy as np

Qhronology is compatible with the following package versions (from requirements.txt):

sympy>=1.12
numpy>=1.26

These are the earliest versions with which the current release has been tested, but older versions may also be compatible. It also requires

python>=3.11

Examples

Generation of a Bell state

Generation of the $\ket{\Phi^+}$ Bell state from primitive $\ket{0}$ states:

from qhronology.quantum.states import VectorState
from qhronology.quantum.gates import Hadamard, Not
from qhronology.quantum.circuits import QuantumCircuit

# Input
zero_state = VectorState(spec=[(1, [0])], label="0")

# Gates
HI = Hadamard(targets=[0], num_systems=2)
CN = Not(targets=[1], controls=[0], num_systems=2)

# Circuit
generator = QuantumCircuit(inputs=[zero_state, zero_state], gates=[HI, CN])
generator.diagram()

# Output
phi_plus = generator.state(label="Φ+")

# Results
phi_plus.print()

>>> generator.diagram()

>>> phi_plus.print()
|Φ+⟩ = sqrt(2)/2|0,0⟩ + sqrt(2)/2|1,1⟩

Quantum teleportation

Quantum teleportation of an arbitrary qubit $\ket{\psi} = a\ket{0} + b\ket{1}$:

from qhronology.quantum.states import VectorState
from qhronology.quantum.gates import Hadamard, Not, Measurement, Pauli
from qhronology.quantum.circuits import QuantumCircuit
from qhronology.mechanics.matrices import ket

# Input
teleporting_state = VectorState(
    spec=[["a", "b"]],
    symbols={"a": {"complex": True}, "b": {"complex": True}},
    conditions=[("a*conjugate(a) + b*conjugate(b)", "1")],
    label="ψ",
)
zero_state = VectorState(spec=[(1, [0, 0])], label="0,0")

# Gates
IHI = Hadamard(targets=[1], num_systems=3)
ICN = Not(targets=[2], controls=[1], num_systems=3)
CNI = Not(targets=[1], controls=[0], num_systems=3)
HII = Hadamard(targets=[0], num_systems=3)
IMI = Measurement(
    operators=[ket(0), ket(1)], observable=False, targets=[1], num_systems=3
)
MII = Measurement(
    operators=[ket(0), ket(1)], observable=False, targets=[0], num_systems=3
)
ICX = Pauli(index=1, targets=[2], controls=[1], num_systems=3)
CIZ = Pauli(index=3, targets=[2], controls=[0], num_systems=3)

# Circuit
teleporter = QuantumCircuit(
    inputs=[teleporting_state, zero_state],
    gates=[IHI, ICN, CNI, HII, IMI, MII, ICX, CIZ],
    traces=[0, 1],
)
teleporter.diagram(force_separation=True)

# Output
teleported_state = teleporter.state(norm=1, label="ρ")

# Results
teleporting_state.print()
teleported_state.print()

print(teleporting_state.distance(teleported_state))
print(teleporting_state.fidelity(teleported_state))

>>> teleporter.diagram(force_separation=True)

>>> teleporting_state.print()
|ψ⟩ = a|0⟩ + b|1⟩

>>> teleported_state.print()
ρ = a*conjugate(a)|0⟩⟨0| + a*conjugate(b)|0⟩⟨1| + b*conjugate(a)|1⟩⟨0| + b*conjugate(b)|1⟩⟨1|

>>> teleporting_state.distance(teleported_state)
0

>>> teleporting_state.fidelity(teleported_state)
1

Unproven theorem paradox

Computing resolutions to the unproven theorem paradox according to various prescriptions of quantum time travel (D-CTCs and P-CTCs):

from qhronology.quantum.states import VectorState
from qhronology.quantum.gates import Not, Swap
from qhronology.quantum.prescriptions import QuantumCTC, DCTC, PCTC

# Input
mathematician_state = VectorState(spec=[(1, [0])], label="0")
book_state = VectorState(spec=[(1, [0])], label="0")

# Gates
NIC = Not(targets=[0], controls=[2], num_systems=3)
CNI = Not(targets=[1], controls=[0], num_systems=3)
IS = Swap(targets=[1, 2], num_systems=3)

# CTC
unproven = QuantumCTC(
    inputs=[mathematician_state, book_state],
    gates=[NIC, CNI, IS],
    systems_respecting=[0, 1],
)
unproven.diagram()

# Output
# D-CTCs
unproven_DCTC = DCTC(circuit=unproven)
unproven_DCTC_respecting = unproven_DCTC.state_respecting(norm=1, label="ρ_D")
unproven_DCTC_violating = unproven_DCTC.state_violating(norm=1, label="τ_D")

# P-CTCs
unproven_PCTC = PCTC(circuit=unproven)
unproven_PCTC_respecting = unproven_PCTC.state_respecting(norm=1, label="ψ_P")
unproven_PCTC_violating = unproven_PCTC.state_violating(norm=1, label="τ_P")

# Results
unproven_DCTC_respecting.print()
unproven_DCTC_violating.print()
unproven_PCTC_respecting.print()
unproven_PCTC_violating.print()

>>> unproven.diagram()

>>> unproven_DCTC_respecting.print()
ρ_D = g|0,0⟩⟨0,0| + (1 - g)|1,1⟩⟨1,1|

>>> unproven_DCTC_violating.print()
τ_D = g|0⟩⟨0| + (1 - g)|1⟩⟨1|

>>> unproven_PCTC_respecting.print()
|ψ_P⟩ = sqrt(2)/2|0,0⟩ + sqrt(2)/2|1,1⟩

>>> unproven_PCTC_violating.print()
τ_P = 1/2|0⟩⟨0| + 1/2|1⟩⟨1|

Documentation

The latest version of the documentation for the package is available at:

• The official website: https://qhronology.com
• The official PDF document: Qhronology.pdf

Both of these are built using Sphinx (repository), with their shared source files residing within the docs directory at the root of the project's repository. This includes all project text and artwork. Please see shell-sphinx.nix within that directory for a list of dependencies required to build both documentation targets. Note that a full LaTeX system installation from 2024 or later is required to build the project's PDF documentation, figures, and artwork (including the logo). Also note that the documentation's rendered circuit diagrams (generated from the package itself) were created using a custom LaTeX template render-text.tex and associated shell script render-text.sh.

License

Please see LICENSE for details about Qhronology's license.

Contributing

Contributions to Qhronology (both the package and its documentation), including any features, fixes, and suggestions, are welcome provided they are compatible with the project's concept and vision, while also conforming to its style. Please see CONTRIBUTING for more details about contributing to the project. Feel free to contact [e-mail] to discuss any significant additions or changes you wish to propose.

Citation

@software{bishop_qhronology_2025,
  title = {{Qhronology: A Python package for resolving quantum time-travel paradoxes and performing general quantum information processing & computation}},
  author = {Bishop, Lachlan G.},
  year = {2025},
  url = {https://github.com/lgbishop/qhronology},
}

Possible future work

• Package:

  • Write proper (more formal) unit tests.

  • Permit more intuitive usage (i.e., summation and multiplication) of quantum objects via operator overloading.

  • Tighter integration with SymPy's pprint() functionality for enhanced state and gate printing.

  • Implement T-CTCs (the transition-probabilities quantum model of time travel).

  • Create the ability for circuit visualizations to target Quantikz LaTeX output.

    • Automatically rasterize using available (local) LaTeX installation.

  • Implement the permutation (PERM) gate.

• Documentation:

  • More examples.

  • Website:

    • Fix citation numbering.

• Theory:

  • Expand section on the Cauchy problem near CTCs.

  • Add a section on the general theory of relativity and the associated geometric theories of CTCs.