text: 420,128,1248598759350599682,1068545181576773632,Kenneth Brown,"New paper on QCCD ion trap architectures for near-term devices (<LINK>). A great collaboration with Prakash Murali (@MartonosiGroup) , @margmartonosi, & @DriptoDebroy (@DukePhysics). Paper accepted at @ISCAConfOrg. #DukeQuantum @DukeEngineering @Princeton In the ion trap community there is a bit of a divide between what is the right size of an ion chain. On the one hand, small ion chains have been shown to have incredible fidelities. On the other hand, long ion chains allow you to grow Hilbert space more easily. There are two main camps: (1) shuttling with 2-4 ion chains is the best and (2) the longest chain that works is the best. Here we study what is the best ion chain length in an architecture that has long chains and shuttling. It turns out to depend on the application. The collaboration between Duke and Princeton made possible by @NSF @EPiQCExpedition.",http://arxiv.org/abs/2004.04706,"Trapped ions (TI) are a leading candidate for building Noisy Intermediate-Scale Quantum (NISQ) hardware. TI qubits have fundamental advantages over other technologies such as superconducting qubits, including high qubit quality, coherence and connectivity. However, current TI systems are small in size, with 5-20 qubits and typically use a single trap architecture which has fundamental scalability limitations. To progress towards the next major milestone of 50-100 qubits, a modular architecture termed the Quantum Charge Coupled Device (QCCD) has been proposed. In a QCCD-based TI device, small traps are connected through ion shuttling. While the basic hardware components for such devices have been demonstrated, building a 50-100 qubit system is challenging because of a wide range of design possibilities for trap sizing, communication topology and gate implementations and the need to match diverse application resource requirements. Towards realizing QCCD systems with 50-100 qubits, we perform an extensive architectural study evaluating the key design choices of trap sizing, communication topology and operation implementation methods. We built a design toolflow which takes a QCCD architecture's parameters as input, along with a set of applications and realistic hardware performance models. Our toolflow maps the applications onto the target device and simulates their execution to compute metrics such as application run time, reliability and device noise rates. Using six applications and several hardware design points, we show that trap sizing and communication topology choices can impact application reliability by up to three orders of magnitude. Microarchitectural gate implementation choices influence reliability by another order of magnitude. From these studies, we provide concrete recommendations to tune these choices to achieve highly reliable and performant application executions. ",Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers,4,"['New paper on QCCD ion trap architectures for near-term devices (<LINK>).\nA great collaboration with Prakash Murali (@MartonosiGroup) , @margmartonosi, &amp; @DriptoDebroy (@DukePhysics). Paper accepted at @ISCAConfOrg.  #DukeQuantum @DukeEngineering @Princeton', 'In the ion trap community there is a bit of a divide between what is the right size of an ion chain.  On the one hand, small ion chains have been shown to have incredible fidelities. On the other hand, long ion chains allow you to grow Hilbert space more easily.', 'There are two main camps: (1) shuttling with 2-4 ion chains is the best and (2) the longest chain that works is the best.  Here we study what is the best ion chain length in an architecture that has long chains and shuttling. It turns out to depend on the application.', 'The collaboration between Duke and Princeton made possible by @NSF @EPiQCExpedition.']",20,04,870