We present quantum algorithms for various problems related to graph connectivity. We give simple and query-optimal algorithms for cycle detection and odd-length cycle detection (bipartiteness) using a reduction to st-connectivity. Furthermore, we show that our algorithm for cycle detection has improved performance under the promise of large circuit rank or a small number of edges. We also provide algorithms for detecting even-length cycles and for estimating the circuit rank of a graph. All of our algorithms have logarithmic space complexity
Span programs are a model of computation that have been used to design quantum algorithms, mainly in...
We study the problem of learning an unknown graph provided via an oracle using a quantum algorithm. ...
We present new quantum algorithms for Triangle Finding improving its best previously known quantum q...
An important family of span programs, st-connectivity span programs, have been used to design quantu...
An important family of span programs, st-connectivity span programs, have been used to design quantu...
We give a new upper bound on the quantum query complexity of deciding st-connectivity on certain cla...
Over the last decade, a large number of quantum algorithms have been discovered that outperform thei...
We present a quantum algorithm for sampling an edge on a path between two nodes s and t in an undire...
Identifying a biclique with the maximum number of edges bears considerable implications for numerous...
We present a quantum algorithm for sampling an edge on a path between two nodes s and t in an undire...
Quantum computing—so weird, so wonderful—inspires much speculation about the line between the possib...
Let G be an n-vertex graph with m edges. When asked a subset S of vertices, a cut query on G returns...
Span program is a linear-algebraic model of computation originally proposed for studying the complex...
We prove improved quantum query complexity bounds for some graph problem. Our results are based on a...
This thesis’ aim is to explore improvements to, and applications of, a fundamental quantum algorithm...
Span programs are a model of computation that have been used to design quantum algorithms, mainly in...
We study the problem of learning an unknown graph provided via an oracle using a quantum algorithm. ...
We present new quantum algorithms for Triangle Finding improving its best previously known quantum q...
An important family of span programs, st-connectivity span programs, have been used to design quantu...
An important family of span programs, st-connectivity span programs, have been used to design quantu...
We give a new upper bound on the quantum query complexity of deciding st-connectivity on certain cla...
Over the last decade, a large number of quantum algorithms have been discovered that outperform thei...
We present a quantum algorithm for sampling an edge on a path between two nodes s and t in an undire...
Identifying a biclique with the maximum number of edges bears considerable implications for numerous...
We present a quantum algorithm for sampling an edge on a path between two nodes s and t in an undire...
Quantum computing—so weird, so wonderful—inspires much speculation about the line between the possib...
Let G be an n-vertex graph with m edges. When asked a subset S of vertices, a cut query on G returns...
Span program is a linear-algebraic model of computation originally proposed for studying the complex...
We prove improved quantum query complexity bounds for some graph problem. Our results are based on a...
This thesis’ aim is to explore improvements to, and applications of, a fundamental quantum algorithm...
Span programs are a model of computation that have been used to design quantum algorithms, mainly in...
We study the problem of learning an unknown graph provided via an oracle using a quantum algorithm. ...
We present new quantum algorithms for Triangle Finding improving its best previously known quantum q...