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Computational complexity perspective on graphical calculi for quantum computation

Piotr Mitosek

Published Dec 10, 2025• 0 citations
OpenAlex

Abstract

Diagrammatic reasoning via languages such as ZX Calculus is a powerful tool in theoretical quantum computing. However, physical quantum computers do not understand diagrams and require explicit quantum circuits as inputs. Finding a circuit equivalent to the given diagram is known as circuit extraction. Such problems in graphical calculi form a limitation preventing the wider adoption of diagrammatic reasoning. Computational complexity theory formalises the difficulty of problems. For ZX diagrams, the circuit extraction problem is #P-hard and unlikely to have an efficient algorithm. Therefore, partial solutions are critical. Currently, efficient circuit extraction is only possible for diagrams containing a structure of so-called Pauli flow. This structure is necessary and sufficient for robust determinism in measurement-based quantum computation (MBQC) – a model of quantum computation, an alternative to circuits, where adaptive single-qubit measurements drive computation. Thus, Pauli flow links MBQC, ZX Calculus, and the circuit model. It is known how to find flow structures in polynomial time when they exist; nevertheless, their lengthy and complex definitions often hinder working with them. In this thesis, I present contributions to two connected topics: the hardness of problems in graphical calculi and Pauli flow as a method for overcoming circuit extraction. First, I show that circuit extraction can be #P-hard for phase-free ZH diagrams, extending the previous result for ZX diagrams. I also establish a relation between phase-free ZH and \(NP^{⧣P}\) class. This involves weakening the oracle, crafting a complete problem, and encoding the problem into phase-free ZH. My next contribution concerns Pauli flow. I simplify the Pauli flow definition by providing a new algebraic interpretation. This involves defining two matrices arising from the adjacency matrix of the underlying graph. Then, Pauli flow corresponds to the existence of a right-inverse of the first matrix, which, when multiplied by the second matrix, results in a matrix of a directed acyclic graph. Based on the newly defined algebraic interpretation, I obtain O(n\(^3\)) algorithms for finding Pauli flow, improving on the previous O(n\(^4\)) bounds. I also introduce a lower bound for Pauli flow-finding by linking it to linear algebra problems over F\(_2\). Finally, when given an unlabelled open graph, I show how to find measurement labelling resulting in Pauli flow.

Related papers

An algebraic formulation of Pauli flow, leading to faster flow-finding algorithms

Piotr Mitosek, Miriam Backens

Abstract The one-way model of quantum computation is an alternative to the circuit model. A one-way computation is driven entirely by successive adaptive measurements of a pre-prepared entangled resource state. For each measurement, only one outcome is desired; hence a fundamental question is whether some intended measurement scheme can be performed in a robustly deterministic way. So-called flow structures witness robust determinism by providing instructions for correcting undesired outcomes. Pauli flow is one of the broadest of these structures and has been studied extensively. It is known how to find flow structures in polynomial time when they exist; nevertheless, their lengthy and complex definitions often hinder working with them. We simplify these definitions by providing a new algebraic formulation of Pauli flow. This involves defining two matrices arising from the adjacency matrix of the underlying graph: the flow-demand matrix M and the order-demand matrix N . We show that Pauli flow exists if and only if there is a right inverse C of M such that the product NC forms the adjacency matrix of a directed acyclic graph. From the newly defined algebraic formulation, we obtain O ( n 3 ) algorithms for finding Pauli flow, improving on the previous O ( n 4 ) bound for finding generalised flow, a weaker variant of flow, and O ( n 5 ) bound for finding Pauli flow. We also introduce a first lower bound for the Pauli flow-finding problem, by linking it to the matrix invertibility and multiplication problems over F 2 .

arXiv:2410.23439•Journal of Physics A Mathematical and Theoretical•Dec 8, 2025•1 citation

Preservation of determinism in MBQC under ZX-calculus rewrites

McElvanney, Tommy

The ZX-calculus is a powerful graphical language for reasoning about and optimizing quantum computations, being able to represent and rewrite both quantum circuits and measurement-based quantum computations (MBQCs) in a natural way, along with acting as a tool to translate between the two aforementioned types of quantum computation. Finding a circuit that is equivalent to a ZX-diagram can be #P hard [11] - it is therefore important to look at the classes of ZX-diagrams that we have efficient circuit extraction algorithms for. The most general of these classes are ZX-diagrams with a property known as Pauli flow - this is a property from measurement-based quantum computing which ensures that computations remain deterministic despite quantum measurements being inherently probabilistic. The standard ZX-calculus rules are not particularly well suited to measurement-based quantum computing as they often do not preserve the existence of Pauli flow nor preserve the MBQC structure itself. Thus by developing our understanding of ZX-calculus rewrite rules which preserve the existence of Pauli flow, we can better understand which ZX diagrams we are able to efficiently extract a circuit from as well as which Measurement-based computations we can perform deterministically. In this thesis, I introduce new ZX-calculus rewrite rules and prove that these rules preserve the existence of Pauli flow. These rules have a variety of applications across many areas of quantum computation which will also be explored - to start, I show that these rules give us a procedure for rewriting any measurement-based quantum computation with arbitrary planar measurements along with X, Y and Z Pauli measurements into a diagram containing only XY -planar measurements and X and Y Pauli measurements (that is, only containing green spiders in the ZX-calculus). I then show that when we restrict to the stabilizer fragment of quantum computing - where we only have Pauli-measurements in measurement-based quantum computations - we are able to find a complete set of rewrite rules which preserve the existence of Pauli flow. To do this, I introduce a procedure for rewriting any stabilizer ZX-diagram into a unique normal form using only flow-preserving rewrite rules. Finally, I examine the flow preservation of the "neighbour unfusion" rule of [60]. This rule was used in an optimization procedure for reducing 2-qubit gate count but the authors did not know in what cases this rule preserved gflow which was important for their algorithm to function. Neighbour unfusion is a special case of one of the rules which I proved to preserve Pauli flow and so it also preserves Pauli flow, but it is not as simple in the case of gflow. I find a condition that is both sufficient and necessary for neighbour unfusion to preserve the existence of gflow, along with providing less strict conditions for gflow to be preserved that can function as useful heuristics in their algorithm.

•Jul 15, 2025•0 citations

Completeness for flow-preserving rewrite rules

Miriam Backens, Simon Perdrix

Complete sets of graphical rewrite rules enable fully graphical reasoning about quantum computations and have been an area of active research for more than a decade. Many recent applications of the ZX-calculus have made use of the close correspondence between ZX-diagrams and computations in the one-way model of measurement-based quantum computation. In this model, various kinds of flow properties ensure deterministic implementability; for ZX-diagrams, these same properties allow efficient translation into quantum circuits (a problem that is known to be #P-hard in general). Therefore, flow-preserving ZX-calculus rewrite rules are of strong interest. Here, we extend the set of flow-preserving rules appearing in the literature with a few new rules and extensions of existing rules. We then show that the resulting rule set is complete for all flow-preserving translations between ZX-diagrams of appropriate form. The proof employs a manifestly flow-preserving equivalent of circuit extraction, where a diagram with gflow is transformed, using only flow-preserving rewrite rules, into a diagram with causal flow.

quant-pharXiv:2608.13035•Aug 14, 2026•0 citations

Constructing $\mathrm{NP}^{\mathord{\#}\mathrm P}$-complete problems and ${\mathord{\#}\mathrm P}$-hardness of circuit extraction in phase-free ZH

Piotr Mitosek

The ZH calculus is a graphical language for quantum computation reasoning. The phase-free variant offers a simple set of generators that guarantee universality. ZH calculus is effective in MBQC and analysis of quantum circuits constructed with the universal gate set Toffoli+H. While circuits naturally translate to ZH diagrams, finding an ancilla-free circuit equivalent to a given diagram is hard. Here, we show that circuit extraction for phase-free ZH calculus is ${\mathord{\#}\mathrm P}$-hard, extending the existing result for ZX calculus. Another problem believed to be hard is comparing whether two diagrams represent the same process. We show that two closely related problems are $\mathrm{NP}^{\mathord{\#}\mathrm P}$-complete. The first problem is: given two processes represented as diagrams, determine the existence of a computational basis state on which they equalize. The second problem is checking whether the matrix representation of a given diagram contains an entry equal to a given number. Our proof adapts the proof of Cook-Levin theorem to a reduction from a non-deterministic Turing Machine with access to ${\mathord{\#}\mathrm P}$ oracle.

arXiv:2404.10913•Apr 16, 2024•0 citations

ZX-Flow: A Flexible Criterion for Deterministic Computation with ZX-Diagrams

Aleks Kissinger, John van de Wetering

Flow criteria are used to efficiently extract computations, either in the form of measurement patterns or quantum circuits, from ZX-diagrams. Existing criteria such as causal flow, generalised flow, and Pauli flow, were all originally formulated for graph states, so they require ZX-diagrams to be in a very particular graph-state-like form. This form is easily broken by applying basic ZX rules and makes establishing some desirable properties very complicated. Here, we introduce a new "ZX-native" flow criterion called ZX-flow, formulated using a new type of decoration of a ZX-diagram we call Pauli semiwebs. These are a generalisation of Pauli webs, which have recently been used extensively in reasoning about fault-tolerant computations in the ZX-calculus. We show that ZX-flow is straightforwardly preserved by all Clifford rewrites and furthermore that a ZX-diagram has ZX-flow if and only if it is Clifford-equivalent to a graph-like ZX-diagram with Pauli flow. Finally, we show that any diagram with ZX-flow can be readily interpreted either as a deterministic measurement-based computation or as a Clifford isometry followed by a sequence of Pauli exponentials. The latter can then be efficiently extracted to a quantum circuit.

quant-pharXiv:2603.09580•Mar 11, 2026•0 citations

Circuit Extraction for ZX-Diagrams Can Be #P-Hard

Niel de Beaudrap, Aleks Kissinger, John van de Wetering

The ZX-calculus is a graphical language for reasoning about quantum computation using ZX-diagrams, a certain flexible generalisation of quantum circuits that can be used to represent linear maps from $m$ to $n$ qubits for any $m,n \geq 0$. Some applications for the ZX-calculus, such as quantum circuit optimisation and synthesis, rely on being able to efficiently translate a ZX-diagram back into a quantum circuit of comparable size. While several sufficient conditions are known for describing families of ZX-diagrams that can be efficiently transformed back into circuits, it has previously been conjectured that the general problem of circuit extraction is hard. That is, that it should not be possible to efficiently convert an arbitrary ZX-diagram describing a unitary linear map into an equivalent quantum circuit. In this paper we prove this conjecture by showing that the circuit extraction problem is #P-hard, and so is itself at least as hard as strong simulation of quantum circuits. In addition to our main hardness result, which relies specifically on the circuit representation, we give a representation-agnostic hardness result. Namely, we show that any oracle that takes as input a ZX-diagram description of a unitary and produces samples of the output of the associated quantum computation enables efficient probabilistic solutions to NP-complete problems.

arXiv:2202.09194•Leibniz international proceedings in informatics•Jan 1, 2022•15 citations
Diagrammatic reasoning via languages such as ZX Calculus is a powerful tool in theoretical quantum computing. However, physical quantum computers do not understand diagrams and require explicit quantum circuits as inputs. Finding a circuit equivalent to the given diagram is known as circuit extraction. Such problems in graphical calculi form a limitation preventing the wider adoption of diagrammatic reasoning. Computational complexity theory formalises the difficulty of problems. For ZX diagrams, the circuit extraction problem is #P-hard and unlikely to have an efficient algorithm. Therefore, partial solutions are critical. Currently, efficient circuit extraction is only possible for diagrams containing a structure of so-called Pauli flow. This structure is necessary and sufficient for robust determinism in measurement-based quantum computation (MBQC) – a model of quantum computation, an alternative to circuits, where adaptive single-qubit measurements drive computation. Thus, Pauli flow links MBQC, ZX Calculus, and the circuit model. It is known how to find flow structures in polynomial time when they exist; nevertheless, their lengthy and complex definitions often hinder working with them. In this thesis, I present contributions to two connected topics: the hardness of problems in graphical calculi and Pauli flow as a method for overcoming circuit extraction. First, I show that circuit extraction can be #P-hard for phase-free ZH diagrams, extending the previous result for ZX diagrams. I also establish a relation between phase-free ZH and (NP^{⧣P}) class. This involves weakening the oracle, crafting a complete problem, and encoding the problem into phase-free ZH. My next contribution concerns Pauli flow. I simplify the Pauli flow definition by providing a new algebraic interpretation. This involves defining two matrices arising from the adjacency matrix of the underlying graph. Then, Pauli flow corresponds to the existence of a right-inverse of the first matrix, which, when multiplied by the second matrix, results in a matrix of a directed acyclic graph. Based on the newly defined algebraic interpretation, I obtain O(n(^3)) algorithms for finding Pauli flow, improving on the previous O(n(^4)) bounds. I also introduce a lower bound for Pauli flow-finding by linking it to linear algebra problems over F(_2). Finally, when given an unlabelled open graph, I show how to find measurement labelling resulting in Pauli flow.
Abstract The one-way model of quantum computation is an alternative to the circuit model. A one-way computation is driven entirely by successive adaptive measurements of a pre-prepared entangled resource state. For each measurement, only one outcome is desired; hence a fundamental question is whether some intended measurement scheme can be performed in a robustly deterministic way. So-called flow structures witness robust determinism by providing instructions for correcting undesired outcomes. Pauli flow is one of the broadest of these structures and has been studied extensively. It is known how to find flow structures in polynomial time when they exist; nevertheless, their lengthy and complex definitions often hinder working with them. We simplify these definitions by providing a new algebraic formulation of Pauli flow. This involves defining two matrices arising from the adjacency matrix of the underlying graph: the flow-demand matrix M and the order-demand matrix N . We show that Pauli flow exists if and only if there is a right inverse C of M such that the product NC forms the adjacency matrix of a directed acyclic graph. From the newly defined algebraic formulation, we obtain O ( n 3 ) algorithms for finding Pauli flow, improving on the previous O ( n 4 ) bound for finding generalised flow, a weaker variant of flow, and O ( n 5 ) bound for finding Pauli flow. We also introduce a first lower bound for the Pauli flow-finding problem, by linking it to the matrix invertibility and multiplication problems over F 2 .
The ZX-calculus is a powerful graphical language for reasoning about and optimizing quantum computations, being able to represent and rewrite both quantum circuits and measurement-based quantum computations (MBQCs) in a natural way, along with acting as a tool to translate between the two aforementioned types of quantum computation. Finding a circuit that is equivalent to a ZX-diagram can be #P hard [11] - it is therefore important to look at the classes of ZX-diagrams that we have efficient circuit extraction algorithms for. The most general of these classes are ZX-diagrams with a property known as Pauli flow - this is a property from measurement-based quantum computing which ensures that computations remain deterministic despite quantum measurements being inherently probabilistic. The standard ZX-calculus rules are not particularly well suited to measurement-based quantum computing as they often do not preserve the existence of Pauli flow nor preserve the MBQC structure itself. Thus by developing our understanding of ZX-calculus rewrite rules which preserve the existence of Pauli flow, we can better understand which ZX diagrams we are able to efficiently extract a circuit from as well as which Measurement-based computations we can perform deterministically. In this thesis, I introduce new ZX-calculus rewrite rules and prove that these rules preserve the existence of Pauli flow. These rules have a variety of applications across many areas of quantum computation which will also be explored - to start, I show that these rules give us a procedure for rewriting any measurement-based quantum computation with arbitrary planar measurements along with X, Y and Z Pauli measurements into a diagram containing only XY -planar measurements and X and Y Pauli measurements (that is, only containing green spiders in the ZX-calculus). I then show that when we restrict to the stabilizer fragment of quantum computing - where we only have Pauli-measurements in measurement-based quantum computations - we are able to find a complete set of rewrite rules which preserve the existence of Pauli flow. To do this, I introduce a procedure for rewriting any stabilizer ZX-diagram into a unique normal form using only flow-preserving rewrite rules. Finally, I examine the flow preservation of the "neighbour unfusion" rule of [60]. This rule was used in an optimization procedure for reducing 2-qubit gate count but the authors did not know in what cases this rule preserved gflow which was important for their algorithm to function. Neighbour unfusion is a special case of one of the rules which I proved to preserve Pauli flow and so it also preserves Pauli flow, but it is not as simple in the case of gflow. I find a condition that is both sufficient and necessary for neighbour unfusion to preserve the existence of gflow, along with providing less strict conditions for gflow to be preserved that can function as useful heuristics in their algorithm.
Complete sets of graphical rewrite rules enable fully graphical reasoning about quantum computations and have been an area of active research for more than a decade. Many recent applications of the ZX-calculus have made use of the close correspondence between ZX-diagrams and computations in the one-way model of measurement-based quantum computation. In this model, various kinds of flow properties ensure deterministic implementability; for ZX-diagrams, these same properties allow efficient translation into quantum circuits (a problem that is known to be #P-hard in general). Therefore, flow-preserving ZX-calculus rewrite rules are of strong interest. Here, we extend the set of flow-preserving rules appearing in the literature with a few new rules and extensions of existing rules. We then show that the resulting rule set is complete for all flow-preserving translations between ZX-diagrams of appropriate form. The proof employs a manifestly flow-preserving equivalent of circuit extraction, where a diagram with gflow is transformed, using only flow-preserving rewrite rules, into a diagram with causal flow.
Constructing NP#P\mathrm{NP}^{\mathord{\#}\mathrm P}NP#P-complete problems and #P{\mathord{\#}\mathrm P}#P-hardness of circuit extraction in phase-free ZH
The ZH calculus is a graphical language for quantum computation reasoning. The phase-free variant offers a simple set of generators that guarantee universality. ZH calculus is effective in MBQC and analysis of quantum circuits constructed with the universal gate set Toffoli+H. While circuits naturally translate to ZH diagrams, finding an ancilla-free circuit equivalent to a given diagram is hard. Here, we show that circuit extraction for phase-free ZH calculus is #P{\mathord{\#}\mathrm P}#P-hard, extending the existing result for ZX calculus. Another problem believed to be hard is comparing whether two diagrams represent the same process. We show that two closely related problems are NP#P\mathrm{NP}^{\mathord{\#}\mathrm P}NP#P-complete. The first problem is: given two processes represented as diagrams, determine the existence of a computational basis state on which they equalize. The second problem is checking whether the matrix representation of a given diagram contains an entry equal to a given number. Our proof adapts the proof of Cook-Levin theorem to a reduction from a non-deterministic Turing Machine with access to #P{\mathord{\#}\mathrm P}#P oracle.
Flow criteria are used to efficiently extract computations, either in the form of measurement patterns or quantum circuits, from ZX-diagrams. Existing criteria such as causal flow, generalised flow, and Pauli flow, were all originally formulated for graph states, so they require ZX-diagrams to be in a very particular graph-state-like form. This form is easily broken by applying basic ZX rules and makes establishing some desirable properties very complicated. Here, we introduce a new "ZX-native" flow criterion called ZX-flow, formulated using a new type of decoration of a ZX-diagram we call Pauli semiwebs. These are a generalisation of Pauli webs, which have recently been used extensively in reasoning about fault-tolerant computations in the ZX-calculus. We show that ZX-flow is straightforwardly preserved by all Clifford rewrites and furthermore that a ZX-diagram has ZX-flow if and only if it is Clifford-equivalent to a graph-like ZX-diagram with Pauli flow. Finally, we show that any diagram with ZX-flow can be readily interpreted either as a deterministic measurement-based computation or as a Clifford isometry followed by a sequence of Pauli exponentials. The latter can then be efficiently extracted to a quantum circuit.
The ZX-calculus is a graphical language for reasoning about quantum computation using ZX-diagrams, a certain flexible generalisation of quantum circuits that can be used to represent linear maps from mmm to nnn qubits for any m,n≥0m,n \geq 0m,n≥0. Some applications for the ZX-calculus, such as quantum circuit optimisation and synthesis, rely on being able to efficiently translate a ZX-diagram back into a quantum circuit of comparable size. While several sufficient conditions are known for describing families of ZX-diagrams that can be efficiently transformed back into circuits, it has previously been conjectured that the general problem of circuit extraction is hard. That is, that it should not be possible to efficiently convert an arbitrary ZX-diagram describing a unitary linear map into an equivalent quantum circuit. In this paper we prove this conjecture by showing that the circuit extraction problem is #P-hard, and so is itself at least as hard as strong simulation of quantum circuits. In addition to our main hardness result, which relies specifically on the circuit representation, we give a representation-agnostic hardness result. Namely, we show that any oracle that takes as input a ZX-diagram description of a unitary and produces samples of the output of the associated quantum computation enables efficient probabilistic solutions to NP-complete problems.