We introduce Qunity, a new quantum programming language designed to treat quantum computing as a natural generalization of classical computing. Qunity presents a unified syntax where familiar programming constructs can have both quantum and classical effects. For example, one can use sum types to implement the direct sum of linear operators, exception-handling syntax to implement projective measurements, and aliasing to induce entanglement. Further, Qunity takes advantage of the overlooked BQP subroutine theorem, allowing one to construct reversible subroutines from irreversible quantum algorithms through the uncomputation of "garbage" outputs. Unlike existing languages that enable quantum aspects with separate add-ons (like a classical language with quantum gates bolted on), Qunity provides a unified syntax and a novel denotational semantics that guarantees that programs are quantum mechanically valid. We present Qunity's syntax, type system, and denotational semantics, showing how it can cleanly express several quantum algorithms. We also detail how Qunity can be compiled into a low-level qubit circuit language like OpenQASM, proving the realizability of our design.
We introduce Qunity, a new quantum programming language designed to treat quantum computing as a natural generalization of classical computing. Qunity presents a unified syntax where familiar programming constructs can have both quantum and classical effects. For example, one can use sum types to implement the direct sum of linear operators, exception-handling syntax to implement projective measurements, and aliasing to induce entanglement. Further, Qunity takes advantage of the overlooked BQP subroutine theorem, allowing one to construct reversible subroutines from irreversible quantum algorithms through the uncomputation of "garbage" outputs. Unlike existing languages that enable quantum aspects with separate add-ons (like a classical language with quantum gates bolted on), Qunity provides a unified syntax and a novel denotational semantics that guarantees that programs are quantum mechanically valid. We present Qunity's syntax, type system, and denotational semantics, showing how it can cleanly express several quantum algorithms. We also detail how Qunity can be compiled into a low-level qubit circuit language like OpenQASM, proving the realizability of our design.
Most existing quantum programming languages are based on the quantum circuit model of computation, as higher-level abstractions are particularly challenging to implement—especially ones relating to quantum control flow. The Qunity language, proposed by Voichick et al., offered such an abstraction in the form of a quantum control construct, with great care taken to ensure that the resulting language is still realizable. However, Qunity lacked a working implementation, and the originally proposed compilation procedure was very inefficient, with even simple quantum algorithms compiling to unreasonably large circuits. In this work, we focus on the efficient compilation of high-level quantum control flow constructs, using Qunity as our starting point. We introduce a wider range of abstractions on top of Qunity’s core language that offer compelling trade-offs compared to its existing control construct. We create a complete implementation of a Qunity compiler, which converts high-level Qunity code into the quantum assembly language OpenQASM 3. We develop optimization techniques for multiple stages of the Qunity compilation procedure, including both low-level circuit optimizations as well as methods that consider the high-level structure of a Qunity program, greatly reducing the number of qubits and gates used by the compiler.
We propose the design of a programming language for quantum computing. Traditionally, quantum algorithms are frequently expressed at the hardware level, for instance in terms of the quantum circuit model or quantum Turing machines. These approaches do not encourage structured programming or abstractions such as data types. In this paper, we describe the syntax and semantics of a simple quantum programming language with high-level features such as loops, recursive procedures, and structured data types. The language is functional in nature, statically typed, free of run-time errors, and has an interesting denotational semantics in terms of complete partial orders of superoperators.
Quantum computing leverages the principles of quantum mechanics to perform computations far beyond the capabilities of classical systems, particularly in fields such as cryptography and optimization. However, current quantum programming languages often require low-level implementation, posing significant barriers for many developers due to their steep learning curve and limited abstraction. In response, we introduce Qutes, a high-level quantum programming language designed to simplify quantum algorithm development while maintaining the flexibility required for advanced applications. By abstracting complex quantum operations and allowing intuitive expressions through high-level constructs, Qutes enables users to write efficient quantum programs without extensive knowledge of quantum mechanics or circuit design. Built upon Qiskit, Qutes translates its syntax directly into executable quantum code, facilitating seamless integration with quantum hardware. This paper provides an overview of the language's architecture, core functionalities, and its ability to unify classical and quantum operations within a single framework. Additionally, we demonstrate Qutes' application in key quantum algorithms, showcasing its potential to make quantum programming more accessible and practical for a wider range of developers and researchers.
Quantica is an innovative programming language that allows the simultaneous use of classical control flow and quantum computation in one unified model. The language design, execution semantics, and primary concerns of the type system controlling classical-quantum interaction are all presented in this preprint. Furthermore, the paper outlines the initial reference implementation, which includes the compiler front end, execution model, and backend infrastructure, along with the sample programs representing quantum gates, entanglement, measurement-driven control flow, and variational hybrid algorithms. The authors finish by pointing out the existing limitations and suggesting the next steps in the unified quantum programming language design as future research. Quantica Github Repo
The focus of this thesis is on laying the theoretical foundation for designing an all-encompassing programming language for quantum computing. The idea inspiring all the contributions of this thesis was to mirror the development of programming languages and logic done for classical computing for its quantum counterpart. Following the groundwork of the Curry-Howard-Lambek correspondence, we try to delve into the three cornerstones of this correspondence - programming languages, logic and category theory with a focus on combining two paradigms of control flow in programs - quantum and classical into one framework. We have tried to achieve more. We have also touched upon the two complementary view of quantum mechanics- Heisenberg and Schrödinger, and adopted one view to define a physically intuitive semantics for the languages we discuss. There are two main contributions that this thesis makes to the existing literature on quantum programming languages. We first introduce a quantum lambda calculus which combines quantum and classical control, whose design is guided by the mathematical structure of its physically intuitive denotational semantics. The operational semantics for this language, is based on an adaptation of quantum configurations which we introduce, and is tied to the denotational model through an adequacy result. The language also provides a prototype of quantum inductive types through the type qnat- a type for quantum natural numbers. The denotational model for this calculus is based on von Neumann algebras- which are at the heart of the mathematical formulation of the Heisenberg view of quantum mechanics. The second contribution is a proof language for the IMALL fragment of Linear logic which builds on some key observations from the calculus introduced above. This language is one of the first such works to be able to support programs which combine constructs such as the quantum switch with measurement. In this aspect, this work is a strict improvement on the previous calculus, since it supports a more fine grained version of quantum control, thus enabling expression of algorithms such as the well-known quantum switch. The syntax is also linear algebraic in nature, supporting linear combinations of terms. A key consequence of this, along with the semantics of the B modality that it introduces is that measurement is no longer a ground construct of the language. In fact, it can now be written as just another program in the language. Finally, the denotational semantics for this work is based on C*-algebras - a generalization of von Neumann algebras. The denotational model is shown to be adequate for the operational semantics, whose linearity turns out to be a natural consequence of this. Finally, we conclude this thesis with limitations of these works and possible directions for future work.
Abstract Quantum computing offers transformative capabilities by exploiting quantum mechanical principles to solve problems that are intractable for classical systems, particularly in areas like cryptography, optimization, and data analysis. However, most current quantum programming languages operate at a low level, requiring in-depth expertise in quantum mechanics and circuit theory, which presents a barrier to wider adoption. In this work, we introduce Qutes, a high-level quantum programming language that simplifies the development of quantum algorithms while preserving the flexibility needed for advanced applications. Qutes abstracts low-level quantum operations through intuitive syntax and high-level constructs, enabling developers to express complex algorithms without detailed circuit knowledge. Built atop Qiskit, Qutes transpiles seamlessly into executable code, ensuring compatibility with real quantum hardware. We present the architecture, language design, and hybrid classical-quantum integration of Qutes, and demonstrate its use through implementations of canonical quantum algorithms. Our results highlight Qutes’ potential to democratize quantum programming by lowering the entry threshold and accelerating prototyping for researchers and developers alike.