Bell inequalities and entanglement. - Reinhard F. Werner; Michael M. Wolf (Quantum Inf. Comput., 2001)

Quantum Computing. - Jens Eisert; Michael M. Wolf (Handbook of Nature-Inspired and Innovative Computing, 2006)

Matrix product state representations. - David Pérez-García; Frank Verstraete; Michael M. Wolf; J. Ignacio Cirac (Quantum Inf. Comput., 2007)

Peps as unique ground states of local hamiltonians. - David Pérez-García; Frank Verstraete; Michael M. Wolf; J. Ignacio Cirac (Quantum Inf. Comput., 2008)

Deciding whether a Quantum Channel is Markovian is NP-hard - Toby S. Cubitt; Jens Eisert; Michael M. Wolf (CoRR, 2009)

Combinatorial Optimization of Matrix-Vector Multiplication in Finite Element Assembly. - Michael M. Wolf; Michael T. Heath (SIAM J. Sci. Comput., 2009)

Hypergraph-Based Combinatorial Optimization of Matrix-Vector Multiplication - Michael M. Wolf (2009)

Factors Impacting Performance of Multithreaded Sparse Triangular Solve. - Michael M. Wolf; Michael A. Heroux; Erik G. Boman (VECPAR, 2010)

The semigroup sturucture of Gaussian channels. - Teiko Heinosaari; Alexander S. Holevo; Michael M. Wolf (Quantum Inf. Comput., 2010)

Bell inequalities from multilinear contractions. - Alejo Salles; Daniel Cavalcanti; Antonio Acín; David Pérez-García; Michael M. Wolf (Quantum Inf. Comput., 2010)

A quantum version of Wielandt's inequality. - Mikel Sanz; David Pérez-García; Michael M. Wolf; J. Ignacio Cirac (IEEE Trans. Inf. Theory, 2010)

Are problems in Quantum Information Theory (un)decidable? - Michael M. Wolf; Toby S. Cubitt; David Pérez-García (CoRR, 2011)

A nested dissection partitioning method for parallel sparse matrix-vector multiplication. - Erik G. Boman; Michael M. Wolf (HPEC, 2013)

PAKCK: Performance and power analysis of key computational kernels on CPUs and GPUs. - Julia S. Mullen; Michael M. Wolf; Anna Klein (HPEC, 2013)

P-sync: A Photonically Enabled Architecture for Efficient Non-local Data Access. - David Whelihan; Jeffrey J. Hughes; Scott M. Sawyer; Eric Robinson; Michael M. Wolf; Sanjeev Mohindra; Julie Mullen; Anna Klein; Michelle S. Beard; Nadya T. Bliss; Johnnie Chan; Robert Hendry; et al. (IPDPS, 2013)

Quantifying the effect of matrix structure on multithreaded performance of the SpMV kernel. - Daniel Kimball; Elizabeth Michel; Paul Keltcher; Michael M. Wolf (HPEC, 2014)

Sparse matrix partitioning for parallel eigenanalysis of large static and dynamic graphs. - Michael M. Wolf; Benjamin A. Miller (HPEC, 2014)

Spectral Anomaly Detection in Very Large Graphs: Models, Noise, and Computational Complexity. - Benjamin A. Miller; Nicholas Arcolano; Michael M. Wolf; Nadya T. Bliss (CoRR, 2014)

A task-based linear algebra Building Blocks approach for scalable graph analytics. - Michael M. Wolf; Jonathan W. Berry; Dylan T. Stark (HPEC, 2015)

Improving the performance of graph analysis through partitioning with sampling. - Michael M. Wolf; Benjamin A. Miller (HPEC, 2015)

Quantum Tomography of Semi-Algebraic Sets with Constrained Measurements. - Michael Kech; Michael M. Wolf (CoRR, 2015)

Quantum Channels With Polytopic Images and Image Additivity. - Motohisa Fukuda; Ion Nechita; Michael M. Wolf (IEEE Trans. Inf. Theory, 2015)

Quantum Subdivision Capacities and Continuous-Time Quantum Coding. - Alexander Müller-Hermes; David Reeb; Michael M. Wolf (IEEE Trans. Inf. Theory, 2015)

Tight Bound on Relative Entropy by Entropy Difference. - David Reeb; Michael M. Wolf (IEEE Trans. Inf. Theory, 2015)

Kokkos/Qthreads task-parallel approach to linear algebra based graph analytics. - Michael M. Wolf; H. Carter Edwards; Stephen L. Olivier (HPEC, 2016)

Advantages to modeling relational data using hypergraphs versus graphs. - Michael M. Wolf; Alicia M. Klinvex; Daniel M. Dunlavy (HPEC, 2016)

Fast linear algebra-based triangle counting with KokkosKernels. - Michael M. Wolf; Mehmet Deveci; Jonathan W. Berry; Simon D. Hammond; Sivasankaran Rajamanickam (HPEC, 2017)

Fast Triangle Counting Using Cilk. - Abdurrahman Yasar; Sivasankaran Rajamanickam; Michael M. Wolf; Jonathan W. Berry; Ümit V. Çatalyürek (HPEC, 2018)

Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures : Algorithms and Experiments. - Mehmet Deveci; Simon D. Hammond; Michael M. Wolf; Sivasankaran Rajamanickam (CoRR, 2018)

Scalable Triangle Counting on Distributed-Memory Systems. - Seher Acer; Abdurrahman Yasar; Sivasankaran Rajamanickam; Michael M. Wolf; Ümit V. Çatalyürek (HPEC, 2019)

Linear Algebra-Based Triangle Counting via Fine-Grained Tasking on Heterogeneous Environments : (Update on Static Graph Challenge). - Abdurrahman Yasar; Sivasankaran Rajamanickam; Jonathan W. Berry; Michael M. Wolf; Jeffrey S. Young 001; Ümit V. Çatalyürek (HPEC, 2019)

Trilinos: Enabling Scientific Computing Across Diverse Hardware Architectures at Scale. - Matthias Mayr; Alexander Heinlein; Christian A. Glusa; Siva Rajamanickam; Maarten Arnst; Roscoe A. Bartlett; Luc Berger-Vergiat; Erik G. Boman; Karen D. Devine; Graham Harper; Michael A. Heroux; Mark Hoemmen; et al. (CoRR, 2025)