An Expeditious Synthesis of Near-Infrared-Absorbing Imide-Based Graphene Nanoribbons and Their Photothermal Properties.

Graphene nanoribbons (GNRs) with low band gap and strong near-infrared (NIR) absorption are potential candidates for optoelectronic and biomedical applications. In this context, imide-based GNRs are promising, but there are no rational design principles that yield these robust GNRs with strong NIR absorption. Here, we demonstrate a rational synthesis route to achieve NIR-absorbing imide-based robust GNRs by exploring the bay region of polyperylene (PP).

Deep Neural Network Assisted Quantum Chemistry Calculations on Quantum Computers.

The variational quantum eigensolver (VQE) is a widely employed method to solve electronic structure problems in the current noisy intermediate-scale quantum (NISQ) devices. However, due to inherent noise in the NISQ devices, VQE results on NISQ devices often deviate significantly from the results obtained on noiseless statevector simulators or traditional classical computers. The iterative nature of VQE further amplifies the errors in each loop.