We report a resource estimation pipeline that explicitly compiles quantum circuits expressed using the Clifford+T gate set into a surface code lattice surgery instruction set. The cadence of magic state requests from the compiled circuit enables the optimization of magic state distillation and storage requirements in a post-hoc analysis. To compile logical circuits into lattice surgery operations, we build upon the open-source Lattice Surgery Compiler. The revised compiler operates in two stages: the first translates logical gates into an abstract, layout-independent instruction set; the second compiles these into local lattice surgery instructions that are allocated to hardware tiles according to a specified resource layout. The second stage retains logical parallelism while avoiding resource contention in the fault-tolerant layer, aiding realism. Additionally, users can specify dedicated tiles at which magic states are replenished, enabling resource costs from the logical computation to be considered independently from magic state distillation and storage. We demonstrate the applicability of our pipeline to large practical quantum circuits by providing resource estimates for the ground state estimation of molecules. We find that variable magic state consumption rates in real circuits can cause the resource costs of magic state storage to dominate unless production is varied to suit.

From a student's perspective, the standard computer science curriculum can effectively develop fundamental software design principles and techniques, but may struggle to fully prepare students for professional practice. Real-world projects require many skills that are challenging to foster in the classroom, including the ability to implement large applications, interact professionally with others, and independently learn new concepts. Undergraduate programs have attempted to develop these abilities through capstone classes and by encouraging participation in co-ops and internships. At Ohio State University, nearly a dozen students have attempted to foster these abilities by doing long-term, real-world, large-scale, commercial-grade software development projects. The first such project recently released an iPhone-based, stadium-centric infotainment application to end-users in time for the 2010 football season. This paper, whose first author is an undergraduate computer science student, captures, from a student's perspective, the educational benefits of ongoing and real-world projects over the more traditional approaches. Following an examination of the educational impacts of these projects relative to the impacts of co-ops, internships and capstone classes, results suggest that long-term, real world projects are a valuable and synergistic component of an undergraduate education in computer science.