From b78e0b3a05858e65962658d29ff0ae35d3969a09 Mon Sep 17 00:00:00 2001 From: Robert Jordens Date: Wed, 29 Oct 2014 22:05:10 -0600 Subject: [PATCH] add TAACCS seminar talk --- doc/slides/fig/control_buttons.jpg | Bin 0 -> 93739 bytes doc/slides/fig/expwiz_matrix.jpg | Bin 0 -> 214089 bytes doc/slides/fig/flatirons_winter_wikipedia.jpg | Bin 0 -> 301430 bytes doc/slides/fig/gate_sequence.jpg | Bin 0 -> 66258 bytes doc/slides/fig/jost_trap-3.pdf | Bin 0 -> 242303 bytes doc/slides/fig/lab.jpg | Bin 0 -> 399188 bytes doc/slides/fig/lab_hardware.jpg | Bin 0 -> 347284 bytes doc/slides/fig/labview.jpg | Bin 0 -> 242013 bytes doc/slides/fig/labview2.jpg | Bin 0 -> 352221 bytes doc/slides/fig/qc-architecture.png | Bin 0 -> 264135 bytes doc/slides/taaccs.tex | 263 ++++++++++++++++++ 11 files changed, 263 insertions(+) create mode 100644 doc/slides/fig/control_buttons.jpg create mode 100644 doc/slides/fig/expwiz_matrix.jpg create mode 100644 doc/slides/fig/flatirons_winter_wikipedia.jpg create 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primary}{use=structure,fg=white,bg=ethblue!70} + \setbeamercolor*{palette secondary}{use=structure,fg=white,bg=ethblue!80} + \setbeamercolor*{palette tertiary}{use=structure,fg=white,bg=ethblue!90} + \setbeamercolor*{palette quaternary}{use=structure,fg=white,bg=ethblue!100} + \setbeamercolor*{structure}{fg=ethblue!70} + \hypersetup{ + } + \setbeamercovered{invisible} +} + +\graphicspath{{fig//}} + +\title{Real-time experiment control for quantum physics} +\author[Robert~Jördens]{{\bf Robert~Jördens}} +\institute[]{ + Ion Storage Group, Time and Frequency, NIST, Boulder, CO \\ + \url{rjordens@nist.gov}% +} + +\begin{document} + +\begin{frame}[plain] + \titlepage +\tikz[overlay,remember picture]\node[anchor=south,above=-.5cm] at (current page.south) + {\includegraphics[width=\paperwidth]{flatirons_winter_wikipedia}}; +\tikz[overlay,remember picture]\node[anchor=south east, fill=white, +inner sep=.3mm] at (current page.south east) {% +\tiny Jesse Varner, AzaToth, CC-BY-SA}; +\end{frame} + +\begin{frame} + \includegraphics[width=\columnwidth]{jost_trap-3} +\end{frame} + +\begin{frame} + \frametitle{Quantum gate sequences} + \includegraphics[width=\columnwidth]{gate_sequence} +\end{frame} + +\begin{frame} + \includegraphics[width=\columnwidth]{lab} +\end{frame} + +\begin{frame} + \includegraphics[width=\columnwidth]{lab_hardware} +\end{frame} + +\begin{frame} + \frametitle{Physicists are not programmers:} + \footnotesize + \begin{center} + \only<1>{\includegraphics[width=\columnwidth]{labview}\\ + LabVIEW: a ``visual programming language'' (a.k.a. ``high viscosity language'')} + \only<2>{\includegraphics[width=\columnwidth]{expwiz_matrix}\\ + Rigid time-versus-channel matrix: inflexible (loops, conditionals?)} + \only<3>{\includegraphics[width=\columnwidth]{control_buttons}\\ + Hard-coded components: not generic and opaque implementation} + \end{center} +\end{frame} + +\begin{frame} + \frametitle{Enter ARTIQ} + \alert{A}dvanced \alert{R}eal-\alert{T}ime \alert{I}nfrastructure for \alert{Q}uantum physics + + \footnotesize + \begin{itemize} + \item High performance --- nanosecond resolution, hundreds of ns latency + \item Expressive --- describe algorithms with few lines of code + \item Portable --- treat hardware, especially FPGA boards, as commodity + \item Modular --- separate components as much as possible + \item Flexible --- hard-code as little as possible + \end{itemize} +\end{frame} + +\begin{frame}[fragile] + \frametitle{Define a simple timing language} + \footnotesize + + \begin{minted}[frame=leftline]{python} +trigger.sync() # wait for trigger input +start = now() # capture trigger time +for i in range(3): + delay(5*us) + dds.pulse(900*MHz, 7*us) # first pulse 5 µs after trigger +at(start + 1*ms) # re-reference time-line +dds.pulse(200*MHz, 11*us) # exactly 1 ms after trigger + \end{minted} + + \begin{itemize} + \item Written in a subset of Python + \item Executed on a CPU embedded on a FPGA (the \emph{core device}) + \item \verb!now(), at(), delay()! describe time-line of an experiment + \item Exact time is kept in an internal variable + \item That variable only loosely tracks the execution time of CPU instructions + \item The value of that variable is exchanged with the RTIO fabric that + does precise timing + \end{itemize} +\end{frame} + + +\begin{frame}[fragile] + \frametitle{Convenient syntax additions} + \footnotesize + \begin{minted}[frame=leftline]{python} +with sequential: + with parallel: + a.pulse(100*MHz, 10*us) + b.pulse(200*MHz, 20*us) + with parallel: + c.pulse(300*MHz, 30*us) + d.pulse(400*MHz, 20*us) + \end{minted} + + \begin{itemize} + \item Experiments are inherently parallel: + simultaneous laser pulses, parallel cooling of ions in different trap zones + \item \verb!parallel! and \verb!sequential! contexts with arbitrary nesting + \item \verb!a! and \verb!b! pulses both start at the same time + \item \verb!c! and \verb!d! pulses both start when \verb!a! and \verb!b! are both done + (after 20\,µs) + \item Implemented by inlining, loop-unrolling, and interleaving + \end{itemize} +\end{frame} + + +\begin{frame}[fragile] + \frametitle{Physical quantities, hardware granularity} + \footnotesize + \begin{minted}[frame=leftline]{python} +n = 1000 +dt = 1.2345*ns +f = 345*MHz + +dds.on(f, phase=0) # must round to integer tuning word +for i in range(n): + delay(dt) # must round to native cycles + +dt_raw = time_to_cycles(dt) # integer number of cycles +f_raw = dds.frequency_to_ftw(f) # integer frequency tuning word + +# determine correct phase despite accumulation of rounding errors +phi = n*cycles_to_time(dt_raw)*dds.ftw_to_frequency(f_raw) + \end{minted} + + \begin{itemize} + \item Need well defined conversion and rounding of physical quantities + (time, frequency, phase, etc.) to hardware granularity and back + \item Complicated because of calibration, offsets, cable delays, + non-linearities + \item No generic way to do it automatically and correctly + \item $\rightarrow$ need to do it explixitly where it matters + \end{itemize} +\end{frame} + + +\begin{frame}[fragile] + \frametitle{Invite organizing experiment components and code reuse} + \footnotesize + + \begin{minted}[frame=leftline]{python} +class Experiment: + def build(self): + self.ion1 = Ion(...) + self.ion2 = Ion(...) + self.transporter = Transporter(...) + + @kernel + def run(self): + with parallel: + self.ion1.cool(duration=10*us) + self.ion2.cool(frequency=...) + self.transporter.move(speed=...) + delay(100*ms) + self.ion1.detect(duration=...) + \end{minted} +\end{frame} + + +\begin{frame}[fragile] + \frametitle{RPC to handle distributed non-RT hardware} + \footnotesize + + \begin{minted}[frame=leftline]{python} +class Experiment: + def prepare(self): # runs on the host + self.motor.move_to(20*mm) # slow RS232 motor controller + + @kernel + def run(self): # runs on the RT core device + self.prepare() # converted into an RPC + \end{minted} + + \begin{itemize} + \item When a kernel function calls a non-kernel function, it generates a RPC + \item The callee is executed on the host + \item Mechanism to report results and control slow devices + \item The kernel must have a loose real-time constraint (a long \verb!delay!) + or means of re-synchronization to cover communication, host, and device delays + \end{itemize} +\end{frame} + + +\begin{frame} + \frametitle{Kernel deployment to the core device} + \footnotesize + \begin{itemize} + \item RPC and exception mappings are generated + \item Constants and small kernels are inlined + \item Small loops are unrolled + \item Statements in parallel blocks are interleaved + \item Time is converted to RTIO clock cycles + \item The Python AST is converted to LLVM IR + \item The LLVM IR is compiled to OpenRISC machine code + \item The OpenRISC binary is sent to the core device + \item The runtime in the core device links and runs the kernel + \item The kernel calls the runtime for communication (RPC) and interfacing + with core device peripherals (RTIO, DDS) + \end{itemize} +\end{frame} + + +\begin{frame} + \begin{center} + \url{https://github.com/m-labs/artiq} + \end{center} + + \footnotesize + \begin{itemize} + \item Fully open-source, BSD licensed + \item Ported and running on two different FPGA boards + \item Design applicable beyond ion trapping (superconducting qubits, + neutral atoms...) + \item Fastest open-source DDR3 SODIMM controller as a sub-project: 64\,Gbps + \item Interfacing with lab hardware + \item Hardware-in-the-loop unittests + \item Self-contained simulator + \item Currently $\sim$1\,µs latency and $\sim$1\,MHz event rate + \item DMA should improve that dramatically + \end{itemize} + +\end{frame} + +\end{document} +% vim:ts=2:sw=2:et:ai

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