AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts

Posted by dbos Cornell

Kavli Affiliate: Dan Luo | First 5 Authors: Meng Jiang, Yi Jing Yu, Qing Zhao, Jianqiang Li, Changwei Song | Summary: Cognitive Behavioral Therapy (CBT) is an effective technique for addressing the irrational thoughts stemming from mental illnesses, but it necessitates precise identification of cognitive pathways to be successfully implemented in patient care. In current […]


Continue.. AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts

A Quantum Eigenvalue Solver Based on Tensor Networks

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Oskar Leimkuhler, K. Birgitta Whaley, , , | Summary: We introduce a hybrid quantum-classical eigenvalue solver that constructs a wavefunction ansatz from a linear combination of matrix product states in rotated orbital bases, enabling the characterization of chemical ground states that are not subject to the constraint […]


Continue.. A Quantum Eigenvalue Solver Based on Tensor Networks

A Quantum Eigenvalue Solver Based on Tensor Networks

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Oskar Leimkuhler, K. Birgitta Whaley, , , | Summary: We introduce a hybrid quantum-classical eigenvalue solver that constructs a wavefunction ansatz from a linear combination of matrix product states in rotated orbital bases, enabling the characterization of chemical ground states that are not subject to the constraint […]


Continue.. A Quantum Eigenvalue Solver Based on Tensor Networks

A Quantum Eigenvalue Solver Based on Tensor Networks

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Oskar Leimkuhler, K. Birgitta Whaley, , , | Summary: We introduce a hybrid quantum-classical eigenvalue solver that constructs a wavefunction ansatz from a linear combination of matrix product states in rotated orbital bases, enabling the characterization of chemical ground states that are not subject to the constraint […]


Continue.. A Quantum Eigenvalue Solver Based on Tensor Networks

A quantum eigenvalue solver based on tensor networks

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Oskar Leimkuhler, K. Birgitta Whaley, , , | Summary: Electronic ground states are of central importance in chemical simulations, but have remained beyond the reach of efficient classical algorithms except in cases of weak electron correlation or one-dimensional spatial geometry. We introduce a hybrid quantum-classical eigenvalue solver […]


Continue.. A quantum eigenvalue solver based on tensor networks

Reconstructing Curves from Sparse Samples on Riemannian Manifolds

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Diana Marin, Filippo Maggioli, Simone Melzi, Stefan Ohrhallinger, Michael Wimmer | Summary: Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of curves on surfaces has only recently begun to receive […]


Continue.. Reconstructing Curves from Sparse Samples on Riemannian Manifolds

Reconstructing Curves from Sparse Samples on Riemannian Manifolds

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Diana Marin, Filippo Maggioli, Simone Melzi, Stefan Ohrhallinger, Michael Wimmer | Summary: Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of curves on surfaces has only recently begun to receive […]


Continue.. Reconstructing Curves from Sparse Samples on Riemannian Manifolds

Reconstructing Curves from Sparse Samples on Riemannian Manifolds

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Diana Marin, Filippo Maggioli, Simone Melzi, Stefan Ohrhallinger, Michael Wimmer | Summary: Reconstructing 2D curves from sample points has long been a critical challenge in computer graphics, finding essential applications in vector graphics. The design and editing of curves on surfaces has only recently begun to receive […]


Continue.. Reconstructing Curves from Sparse Samples on Riemannian Manifolds

A static quantum embedding scheme based on coupled cluster theory

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Avijit Shee, Fabian M. Faulstich, Birgitta Whaley, Lin Lin, Martin Head-Gordon | Summary: We develop a static quantum embedding scheme, utilizing projection equations to solve coupled cluster (CC) amplitudes. To reduce the computational cost (for example, of a large basis set calculation), we solve the local fragment […]


Continue.. A static quantum embedding scheme based on coupled cluster theory

A static quantum embedding scheme based on coupled cluster theory

Posted by dbos Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Avijit Shee, Fabian M. Faulstich, Birgitta Whaley, Lin Lin, Martin Head-Gordon | Summary: We develop a static quantum embedding scheme that utilizes different levels of approximations to coupled cluster (CC) theory for an active fragment region and its environment. To reduce the computational cost, we solve the […]


Continue.. A static quantum embedding scheme based on coupled cluster theory